Pith. sign in

Paper Citation Record · LEDGER

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.06990.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.06990 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:05:28.254903Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy22
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef8732aa-7187-46d0-b10b-2895fe3d6664 · outbound

This paper cites RNN-DBSCAN: A density-based clustering algorithm using reverse nearest neighbor density estimates.IEEE Transactions on Knowledge and Data Engineering, 30(6):1109–1121, 2018.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs RNN-DBSCAN: A density-based clustering algorithm using reverse nearest neighbor density estimates.IEEE Transactions on Knowledge and Data Engineering, 30(6):1109–1121, 2018

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T17:05:27.918600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:05:27.918600Z digest=sha256:a764ea80f85e8a9895e9c42a9f52b4bdfde707951bfc865095f8e6e440c42155

Observation f0f6774b-b907-4675-8021-444d4330df88 · outbound

This paper cites Sarasvady.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Sarasvady

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T17:05:27.929092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:05:27.929092Z digest=sha256:1dfd35b429813da0e645771071a89a47e210c9fe2b1e4db37e1a28967a2c51ba

Observation 76394aae-5ea9-4d78-9b98-75570437e612 · outbound

This paper cites CURE: An efficient clustering algorithm for large databases.ACM Sigmod record, 27(2):73–84, 1998.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs CURE: An efficient clustering algorithm for large databases.ACM Sigmod record, 27(2):73–84, 1998

Reference 3

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T17:05:29.683745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.938410Z digest=sha256:0fdec95f3c30a3e3ea9e6f3288943f0c6912376882d456bf558fd9c7aaa5c758

Observation f51e66c4-d02e-4ed6-8804-f0e9a5fa8ba7 · outbound

This paper cites ROCK: A robust clustering algorithm for categorical attributes.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs ROCK: A robust clustering algorithm for categorical attributes

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T17:05:29.521177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.945548Z digest=sha256:1e357cdad37ca0f43a4cab17805089532b6d95e842fd2806bcbb8ac000608cbb

Observation 45573722-329f-47a8-991a-ce4cfae73f64 · outbound

This paper cites Chameleon: Hierarchical clustering using dynamic modeling.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Chameleon: Hierarchical clustering using dynamic modeling

Reference 5

Resolution
verified exact
doi, observed 2026-08-10T17:05:28.386202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.953612Z digest=sha256:2b40400bb8ecae9832a8d0e34f57d3012a702c8c69b8da18b3801e68569bbd1f

Observation 6805d76d-9c05-44e4-9e18-3264cb05eea4 · outbound

This paper cites Reza Asharif, Yulwan Sung, and Seiji Ogawa.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Reza Asharif, Yulwan Sung, and Seiji Ogawa

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T17:05:29.311827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.966350Z digest=sha256:b4a6bdc370337089e1ad3ab57776a36d1fb61b89cdcc40e488269bac7d227dd8

Observation 6414b471-269c-4476-8ae5-cfd1d86e1fd8 · outbound

This paper cites A new hierarchical clustering algorithm with intersection points.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs A new hierarchical clustering algorithm with intersection points

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.655220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.984123Z digest=sha256:7cb8ec879176c20bb30ccaa52be8c02b4b966d3a54217f1bbec5c59e501c20c0

Observation 3e3f95ea-adc2-4429-9271-d25cdb8960ad · outbound

This paper cites An optimized CHAMELEON algorithm based on local features.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs An optimized CHAMELEON algorithm based on local features

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.582155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.018264Z digest=sha256:50d0c6785ba071d0900c3419eac69b19a7136a850eb30305da5a6fac95835cc2

Observation 91110895-1805-44a4-b547-6bb2915bf7f4 · outbound

This paper cites Density-based spatial clustering of applications with noise.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Density-based spatial clustering of applications with noise

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.537543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.025040Z digest=sha256:6cbce3e0b1341f619cd3ad33f293d4f8370a05d3218a0d7f45af95fe7ad257cd

Observation ba29570e-5ee1-484f-8484-64f877c607f0 · outbound

This paper cites Clustering by fast search and find of density peaks.science, 344(6191):1492–1496, 2014.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Clustering by fast search and find of density peaks.science, 344(6191):1492–1496, 2014

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.499515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.039458Z digest=sha256:5378508adc68b750f8b60e73990a24366907b81942c7062c5fa0a087de45cfe5

Observation ca1fdd32-26cf-41e9-9786-cd398e52bffa · outbound

This paper cites Hybrid clustering algorithm based on improved density peak clustering.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Hybrid clustering algorithm based on improved density peak clustering

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.471197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.048666Z digest=sha256:da0a5864a379fbb20b155a4a66729146f43c5388536b4068dc26f80f6025d7f2

Observation b4f41ab0-e36a-48b5-bcb5-cce5fdc523db · outbound

This paper cites Mean shift analysis and applications.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Mean shift analysis and applications

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.442168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.053907Z digest=sha256:a0e2f665d3e937e86b677aa87aceb9f6ca00d8e3e065018fe29d23193f71983f

Observation e3ee29b3-7dbf-4031-99f5-06d733baf8a1 · outbound

This paper cites Hierarchical density estimates for data clustering, visualization, and outlier detection.ACM Transactions on Knowledge Discovery from Data (TKDD), 10(1): 1–51, 2015.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Hierarchical density estimates for data clustering, visualization, and outlier detection.ACM Transactions on Knowledge Discovery from Data (TKDD), 10(1): 1–51, 2015

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.418178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.058575Z digest=sha256:0ab53b483fe105dc01f20da133f2102529e787e4ba12635e3e4cda276c664e51

Observation 1a97cb42-ea4f-4054-b1b6-307ee7c7ee38 · outbound

This paper cites DenPEHC: Density peak based efficient hierarchical clustering.Information Sciences, 373:200–218, 2016.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs DenPEHC: Density peak based efficient hierarchical clustering.Information Sciences, 373:200–218, 2016

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.381679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.071546Z digest=sha256:14660816bb10315ee5da5db6a8c8ba8c4ea1c6046e50788b6cf09fb3ec758694

Observation eb0d8985-5438-4540-9eb5-02069494ddd6 · outbound

This paper cites Efficient computation and visualization of multiple density-based clustering hierarchies.IEEE Transactions on Knowledge and Data Engineering, 33(8):3075–3089, 2019.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Efficient computation and visualization of multiple density-based clustering hierarchies.IEEE Transactions on Knowledge and Data Engineering, 33(8):3075–3089, 2019

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.352251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.081401Z digest=sha256:467a1dce310d7d2a7e418a79cbc3de714b89bb26500434a4ad075b22fe55f494

Observation 53627eee-6e4d-45b0-9794-a79adbc5c409 · outbound

This paper cites Hierarchical clustering that takes advantage of both density-peak and density-connectivity.Information Systems, 103:101871, 2022.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Hierarchical clustering that takes advantage of both density-peak and density-connectivity.Information Systems, 103:101871, 2022

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.317847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.089395Z digest=sha256:3e291d53ac06d5bfabb650135bb8b2dd95a853b6428d0dd4f90c1fa4944b5205

Observation 093ba29d-f476-4f8d-bb7a-9952f461f8bf · outbound

This paper cites Fast sparse representative tree splitting via local density for large-scale clustering.Scientific Reports, 15(1):29398, 2025.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Fast sparse representative tree splitting via local density for large-scale clustering.Scientific Reports, 15(1):29398, 2025

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.285246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.100384Z digest=sha256:c2d839d73106f617e8e1f4ce0caac5a44207345efae7774146f5dc9ac0975926

Observation 828a17b1-ddf9-4c75-a19e-6c907009cc27 · outbound

This paper cites Graph clustering with local density-cut.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Graph clustering with local density-cut

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.245356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.106818Z digest=sha256:d9a353c89b42030e92b2790a12ac7c902c4f4ff167d056c8f293ca23a50a59f8

Observation 4d9fddc0-187f-4835-81cd-512e80a98064 · outbound

This paper cites ADPSCAN: Structural graph clustering with adaptive density peak selection and noise re-clustering.Applied Sciences, 14(15):6660, 2024.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs ADPSCAN: Structural graph clustering with adaptive density peak selection and noise re-clustering.Applied Sciences, 14(15):6660, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.207567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.115263Z digest=sha256:34227adac7895564c0a389481b3f71972e7330475be8f37cb47903eb93e34d5f

Observation 43261e95-7dfc-4c0d-93a0-713951b64247 · outbound

This paper cites DSets-DBSCAN: A parameter-free clustering algorithm.IEEE Transactions on Image Processing, 25(7):3182–3193, 2016.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs DSets-DBSCAN: A parameter-free clustering algorithm.IEEE Transactions on Image Processing, 25(7):3182–3193, 2016

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.181643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.124886Z digest=sha256:3ba023fab2d5ce1403a5f6c27f78450ab85ff11a6bcb299d13e107aca6bc50a0

Observation 513c05fa-1bc0-4518-9bc4-98c0c07b283b · outbound

This paper cites Multiview clustering: A scalable and parameter-free bipartite graph fusion method.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1):330–344, 2020.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Multiview clustering: A scalable and parameter-free bipartite graph fusion method.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1):330–344, 2020

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.141581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.134839Z digest=sha256:2d583056d31ef83233189d64733702d4e60f20576fccd40990d4a71313fccae9

Observation c35733a5-1058-4ad3-a545-56a8e6093777 · outbound

This paper cites K*-Means: A Parameter-free Clustering Algorithm.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs K*-Means: A Parameter-free Clustering Algorithm

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:05:29.010807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.144060Z digest=sha256:6d2d8bf25bc8d67aeb31777c602a3e91562290ad3f668ecaec9bb0ec0a9d9cd8

Observation 18c6edbf-916e-441b-ae7c-8ac16ab95c2d · outbound

This paper cites Ruspini, James C.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Ruspini, James C

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T17:05:28.151517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:05:28.151517Z digest=sha256:2dc3907558dd767341334019d5efa84c29d60897482fda55a5dd68d51e122949

Observation 876138be-7d63-467a-9706-899f43e8e06c · outbound

This paper cites Research and application of improved CHAMELEON algorithm based on condensed hierarchical clustering method.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Research and application of improved CHAMELEON algorithm based on condensed hierarchical clustering method

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.616561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.156572Z digest=sha256:d0976b8e64f32c5c546efcfa91fa383f9c606979e9a67d8bcb0976885f12d537

Observation 9d5e6576-e961-4ec9-8802-20da40cb4f5e · outbound

This paper cites Chameleon 2: an improved graph-based clustering algorithm.ACM Transactions on Knowledge Discovery from Data (TKDD), 13(1):1–27, 2019.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Chameleon 2: an improved graph-based clustering algorithm.ACM Transactions on Knowledge Discovery from Data (TKDD), 13(1):1–27, 2019

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.107070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.166611Z digest=sha256:9bd938447e108f1f72ccf5833a34d22836968facf0baf0b8ecd9f514e330ffd1

Observation 309028e8-8412-415a-a011-159dd8679d64 · outbound

This paper cites Data partitioning in hierarchical clustering: A parameter-insensitive approach.International Information Institute (Tokyo).

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Data partitioning in hierarchical clustering: A parameter-insensitive approach.International Information Institute (Tokyo)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.054950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.173017Z digest=sha256:795ffc014bb13729f533b645b0141bbe5fbea2684012506140cbce5813196b79

Observation 8703f13f-40b2-426a-a8a3-2b219d11629d · outbound

This paper cites Chameleon2++: An efficient and scalable variant of chameleon clustering.arXiv preprint arXiv:2501.02612, 2025.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Chameleon2++: An efficient and scalable variant of chameleon clustering.arXiv preprint arXiv:2501.02612, 2025

Reference 28

Resolution
verified exact
raw_fallback, observed 2026-08-10T17:05:28.780334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.182049Z digest=sha256:5d604ee5bfa06a73bad1cb2058710676e966e2bb3f574715e8a93a34e370aef3

Observation dbb4609e-4734-4f5c-b2e4-d5192da7aaed · outbound

This paper cites K-means properties on six clustering benchmark datasets, 2018.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs K-means properties on six clustering benchmark datasets, 2018

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:30.027824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.195932Z digest=sha256:3c0d74d158d9da0cfe3a944a5b70526e3b6a0254087697b2e01bcbed89a0bb27

Observation 5946ea5f-58e1-42cb-af3c-0c7e0b4b398a · outbound

This paper cites McDPC: multi-center density peak clustering.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs McDPC: multi-center density peak clustering

Reference 30

Resolution
verified exact
doi, observed 2026-08-10T17:05:28.361639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.204541Z digest=sha256:6db296371f1e699a1ca65b773582e627e5cae8d5a6b95407293ac85f3d3d2ca7

Observation eeee9da5-fed0-4258-bc05-baf034feff42 · outbound

This paper cites A novel mean-shift algorithm for data clustering.IEEE Access, 10: 14575–14585, 2022.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs A novel mean-shift algorithm for data clustering.IEEE Access, 10: 14575–14585, 2022

Reference 31

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T17:05:28.548562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.212181Z digest=sha256:d9ff330d7c615f764c2f804213bc244424e042e2cffcfe28e3eac32f71803c5a

Observation 2369c4a2-6be2-4720-9428-4eb4d9fff2b6 · outbound

This paper cites an unresolved cited work.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:05:30.003296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.218947Z digest=sha256:22fb95d758acb317cf4b1b0931625b06524ac1bcdc3de58cca6c4dc50d24274c

Observation 6a33b85d-f6dc-4908-ac56-d920cea6d7ce · outbound

This paper cites Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance.Journal of Machine Learning Research, 11:2837–2854, 2010.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance.Journal of Machine Learning Research, 11:2837–2854, 2010

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:29.986924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.225271Z digest=sha256:b6551f66fee76512127e3f6b16d237f2b7970312bcf582d51e3d0e0d38c80761

Observation 95353a32-1c82-4f8c-a529-236043d3cbf2 · outbound

This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:29.960422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.234760Z digest=sha256:cf6924b574a4e2cd62ff388f3d7883a225793bbff41255801f405d10b23184c6

Observation 5ff184ce-afbb-4ac8-9db5-865d6d164602 · outbound

This paper cites nearest neighbor.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs nearest neighbor

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T17:05:28.245466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:05:28.245466Z digest=sha256:ef92b196a745ab54db8d1058375645d8e666b16682cf07ed576ed265aab22bbc

Observation af6ab747-f53b-4e6d-b141-307e66b868b7 · outbound

This paper cites Cambridge University Press Cambridge, 2008.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Cambridge University Press Cambridge, 2008

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:05:29.921246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:28.254903Z digest=sha256:18a1f9d99f43ec901cd3e717707b14c26b2fe69430b8641f940adf45f381798b

Observation b63be877-5f35-4f86-8e08-f98a42ddd2cc · outbound

This paper cites an unresolved cited work.

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs Unresolved cited work

Reference 2018

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T17:05:29.144156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:05:27.998116Z digest=sha256:094618146952a069e8adaf57b0719f05154fc035f45e8b47bdbad72e6f17ebf1

Pith citing papers

No inbound Pith citation observations are available.