Fast tree aggregation for consensus hierarchical clustering

Abstract Background In unsupervised learning and clustering, data integration from different sources and types is a difficult question discussed in several research areas. For instance in omics analysis, dozen of clustering methods have been developed in the past decade. When a single source of data...

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Hlavní autoři: Audrey Hulot, Julien Chiquet, Florence Jaffrézic, Guillem Rigaill
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2020-03-01
Edice:BMC Bioinformatics
Témata:
Hierarchical clustering
Data integration
Unsupervised learning
Consensus clustering
Omics
On-line přístup:http://link.springer.com/article/10.1186/s12859-020-3453-6
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