A semi-supervised fuzzy clustering algorithm applied to gene expression data

DOI10.1016/j.patcog.2011.05.007zbMath1225.68200OpenAlexW2077276425MaRDI QIDQ645894

Ioannis A. Maraziotis

Publication date: 10 November 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.05.007

zbMATH Keywords

gene expressionpairwise constraintssemi-supervised clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Genetics and epigenetics (92D10)

Related Items (3)

Active constrained fuzzy clustering: a multiple kernels learning approach ⋮ An exact algorithm for semi-supervised minimum sum-of-squares clustering ⋮ Semi-supervised clustering via multi-level random walk

Uses Software

• Silhouettes

Cites Work

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• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Fuzzy clustering with supervision
• Active semi-supervised fuzzy clustering

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