Evolutionary soft co-clustering: formulations, algorithms, and applications

DOI10.1007/s10618-014-0375-9zbMath1405.62087OpenAlexW2164945240MaRDI QIDQ1715873

Andrey Chernikov, Christopher Osgood, Shuiwang Ji, Rongjian Li, Daming Feng, Nikos Chrisochoides, Wenlu Zhang

Publication date: 29 January 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-014-0375-9

zbMATH Keywords

bioinformaticsexpectation maximizationbiological image computingevolutionary co-clustering

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Detecting evolving communities in dynamic networks using graph regularized evolutionary nonnegative matrix factorization ⋮ Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data

Uses Software

• Triangle
• GraphScope
• FlyExpress

Cites Work

• Scaling by binormalization
• Learning the parts of objects by non-negative matrix factorization
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