pith:XHENOZMV
Scalable unsupervised feature selection via weight stability
Relevant features are assigned consistently higher weights than noise features across a range of Minkowski exponents.
arxiv:2506.06114 v5 · 2025-06-06 · cs.LG
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\usepackage{pith}
\pithnumber{XHENOZMVELLXXPE423XCJWB6UM}
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Record completeness
Claims
Under explicit assumptions on noise features and cluster structure, relevant features are assigned consistently higher weights than noise features across a range of Minkowski exponents.
The paper relies on explicit assumptions about the properties of noise features and the underlying cluster structure that allow the weight stability to separate signal from noise.
Proposes FS-MWK++ and scalable SFS-MWK++ for unsupervised feature selection by aggregating stable feature weights from Minkowski weighted k-means++ across exponents, backed by theoretical analysis under noise and cluster assumptions.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:04:10.555881Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9c8d7659522d77bbc9cd6ee24d83ea31b08f81181d06acaa2475086d2d338f7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XHENOZMVELLXXPE423XCJWB6UM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b9c8d7659522d77bbc9cd6ee24d83ea31b08f81181d06acaa2475086d2d338f7
Canonical record JSON
{
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"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-06T14:24:41Z",
"title_canon_sha256": "72d05a9accaec310101eeabfa6a1915cd03553f4d10f5999d5344a6d68cba700"
},
"schema_version": "1.0",
"source": {
"id": "2506.06114",
"kind": "arxiv",
"version": 5
}
}