Dask-means is a dual-index, kNN-pruned exact k-means that reports large speedups on low-memory devices and includes a fitted estimator for its own memory and runtime.
https://networkrepository
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means
Dask-means is a dual-index, kNN-pruned exact k-means that reports large speedups on low-memory devices and includes a fitted estimator for its own memory and runtime.