Consensus Clustering in Gene Expression
作者： Paola Galdi , Francesco Napolitano , Roberto Tagliaferri
DOI: 10.1007/978-3-319-24462-4_5
关键词:
摘要: In data analysis, clustering is the process of finding groups in unlabelled according to similarities among them such a way that items belonging same group are more similar between each other than different groups. Consensus methodology for combining solutions from set new clustering, order obtain accurate and stable solution. this work we compared consensus approaches combination with algorithms ran several experiments on gene expression sets. We show techniques lead an improvement accuracy give evidence stability obtained these methods.
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