MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection

In the era of Big Data, cluster analysis of high-dimensional data sets often suffers from the Curse of dimensionality . To overcome this problem, the dimensionality reduction through feature selection becomes inevitable. Co-clustering or two-way clustering is considered to be a more sophisticated to...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 34; H. 9; S. 4371 - 4384
Hauptverfasser:	Cui, Laizhong, Acharya, Sudipta, Mishra, Sumit, Pan, Yi, Huang, Joshua Zhexue
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Big Data Biology Cluster analysis Clustering Clustering algorithms co-clustering Data analysis Datasets Dimensional analysis Evaluation Evolutionary algorithms Feature extraction Feature selection Gene expression Genetic algorithms Germanium multi-objective optimization multi-view learning Noise levels Optimization sample classification Sorting algorithms
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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