Statistical modeling of dissimilarity increments for \(d\)-dimensional data: application in partitional clustering

DOI10.1016/j.patcog.2011.12.009zbMath1242.68266OpenAlexW2025424614WikidataQ60992472 ScholiaQ60992472MaRDI QIDQ437475

Helena Aidos, Ana Fred

Publication date: 17 July 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.12.009

zbMATH Keywords

minimum description lengthlikelihood-ratio testpartitional clusteringdissimilarity incrementsGaussian mixture decomposition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• DLMF
• ElemStatLearn
• ROCK

Cites Work

• Concept learning and feature selection based on square-error clustering
• Divergence measures based on the Shannon entropy
• 10.1162/153244303321897735
• Testing Statistical Hypotheses
• On the Distribution of the Two-Sample Cramer-von Mises Criterion
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