Clustering microarray data using model-based doubleK-means

DOI10.1080/02664763.2012.683172OpenAlexW2045681526MaRDI QIDQ5127048

Francesca Martella, Maurizio Vichi

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.683172

zbMATH Keywords

microarray datacoordinate ascent algorithmdouble \(K\)-meansmodel-based biclusteringstratified resampling procedure

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Identification of target clusters by using the restricted normal mixture model

Uses Software

• BicAT

Cites Work

• Block clustering with collapsed latent block models
• Two-way Poisson mixture models for simultaneous document classification and word clustering
• Two-mode multi-partitioning
• Block clustering with Bernoulli mixture models: comparison of different approaches
• Loevinger's measures of rule quality for assessing cluster stability
• A unifying model for biclustering
• Two-mode clustering methods: astructuredoverview
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