Feature selection for \(k\)-means clustering stability: theoretical analysis and an algorithm

DOI10.1007/s10618-013-0320-3zbMath1298.68224OpenAlexW2397579385MaRDI QIDQ468677

Dimitrios Mavroeidis, Elena Marchiori

Publication date: 7 November 2014

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-013-0320-3

zbMATH Keywords

stabilityclusteringfeature selectionsparse PCA

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Related Items (1)

Robust estimation of precision matrices under cellwise contamination

Uses Software

• bootstrap

Cites Work

• Bagging predictors
• On clustering validation techniques
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