Systematic tuning of parameters in support vector clustering

DOI10.1016/j.mbs.2006.09.013zbMath1111.92002OpenAlexW2086607946WikidataQ51108323 ScholiaQ51108323MaRDI QIDQ876061

Luke Ekem Kweku Achenie, Ranjan Srivastava, Özlem Yılmaz

Publication date: 16 April 2007

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2006.09.013

zbMATH Keywords

clusteringsupport vector machinesgene expression datacluster validityprincipal components analysisparameter tuning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) General biology and biomathematics (92B05) Computational methods for problems pertaining to biology (92-08)

Uses Software

• UCI-ml
• simannf90

Cites Work

• Global optimization of statistical functions with simulated annealing
• Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here
• Finding Groups in Data
• Unnamed Item
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