Using Evidence of Mixed Populations to Select Variables for Clustering Very High-Dimensional Data

DOI10.1198/jasa.2010.tm09404zbMath1392.62178OpenAlexW2040313973MaRDI QIDQ5255310

Yao-ban Chan, Hall, Peter

Publication date: 15 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jasa.2010.tm09404

zbMATH Keywords

bootstrapdensity estimationmultimodalityexcess massmode testbandwidth test

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric statistical resampling methods (62G09)

Related Items (4)

A simple approach to sparse clustering ⋮ Eigen Selection in Spectral Clustering: A Theory-Guided Practice ⋮ Kernel excess mass test for multimodality ⋮ Feature screening in large scale cluster analysis

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