Clustering analysis of gene expression data based on semi-supervised visual clustering algorithm

DOI10.1007/S00500-005-0025-7zbMath1114.68461OpenAlexW2076815928MaRDI QIDQ855185

Chen Shu, Dewen Hu, Fu-lai Chung, Zhaohong Deng, Shi-Tong Wang

Publication date: 4 January 2007

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-005-0025-7

zbMATH Keywords

Clustering analysisSemi-supervised learningGene expression dataGradient systemVisual clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Genetics and epigenetics (92D10)

Related Items (2)

MSAFC: matrix subspace analysis with fuzzy clustering ability ⋮ An enhanced possibilistic c-means clustering algorithm EPCM

Cites Work

• Median correlation for the analysis of gene expression data
• Formulations of Support Vector Machines: A Note from an Optimization Point of View
• Non-uniqueness and Inversions in Cluster Analysis

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