A new noise-resisting feature-based clustering quality evaluation approach scaling from low to high dimensional data

Jean-Charles Lamirel

Conference papers

A new noise-resisting feature-based clustering quality evaluation approach scaling from low to high dimensional data

Jean-Charles Lamirel ¹

1 SYNALP - Natural Language Processing : representations, inference and semantics

LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery

Document type :

Conference papers

Domain :

Computer Science [cs] / Neural and Evolutionary Computing [cs.NE]

Computer Science [cs] / Artificial Intelligence [cs.AI]

Statistics [stat] / Machine Learning [stat.ML]

Complete list of metadata

https://hal.inria.fr/hal-03179695
Contributor : Jean-Charles Lamirel <>
Submitted on : Wednesday, March 24, 2021 - 1:11:03 PM
Last modification on : Saturday, March 27, 2021 - 3:09:02 AM

A new noise-resisting feature-based clustering quality evaluation approach scaling from low to high dimensional data

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A new noise-resisting feature-based clustering quality evaluation approach scaling from low to high dimensional data

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