Bootstrapping estimates of stability for clusters, observations and model selection

DOI10.1007/s00180-018-0830-yzbMath1417.62180OpenAlexW2888947475MaRDI QIDQ1729354

David Gotz, Han Yu, Arianna Di Florio, Mathews Jacob, Rachael Hageman Blair, Brian Chapman, Ellen E. Eischen

Publication date: 27 February 2019

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: http://orca.cf.ac.uk/114553/1/Bootstrapping%20estimates%20of%20stability%20for%20clusters.pdf

zbMATH Keywords

visualizationclustering\(k\)-meansJaccard coefficientensemble

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Pattern recognition, speech recognition (68T10)

Related Items (3)

Unnamed Item ⋮ Optimal transport, mean partition, and uncertainty assessment in cluster analysis ⋮ bootcluster

Uses Software

• R
• CRAN

Cites Work

• Selection of the number of clusters via the bootstrap method
• A stability based validity method for fuzzy clustering
• Cluster-wise assessment of cluster stability
• Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
• Consistent selection of the number of clusters via crossvalidation
• A Survey of Statistical Network Models
• Bootstrap confidence levels for phylogenetic trees
• The elements of statistical learning. Data mining, inference, and prediction

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