A spectral clustering method for microarray data

DOI10.1016/j.csda.2004.04.010zbMath1429.62266OpenAlexW1993621794MaRDI QIDQ957180

Joseph Beyene, Shafagh Fallah, David L. Tritchler

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.04.010

zbMATH Keywords

spectralclusteringsupervised learningmicroarrayeigenanalysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Model-based clustering of high-dimensional data: a review

Uses Software

• CLIFF

Cites Work

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• A constrained eigenvalue problem
• Least squares with a quadratic constraint
• On the theoretical backgrounds of cluster analysis based on the eigenvalue problem of the association matrix

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