Hybrid of hierarchical and partitional clustering algorithm for gene expression data
Microarray analysis able to monitor thousands of gene expression data, however, to elucidate the hidden patterns in the data is a complex process. These gene expression data show its imprecision, noise and vagueness due to its high dimensional properties. There are a handful of clustering algorithms...
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主要な著者: | , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
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2020
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/91810/1/ShaminiRajaKumaran2020_HybridofHierarchicalandPartitionalClustering.pdf http://eprints.utm.my/id/eprint/91810/ http://dx.doi.org/10.1088/1757-899X/864/1/012071 |
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