Agglomerative hierarchical clustering of continuous variables based on mutual information

DOI10.1016/S0167-9473(03)00153-1zbMath1429.62251OpenAlexW1984589755MaRDI QIDQ956926

Ivan Kojadinovic

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(03)00153-1

zbMATH Keywords

mutual informationredundancycontinuous variablesShannon entropyagglomerative hierarchical clusteringadaptive kernel density estimation

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical aspects of information-theoretic topics (62B10)

Related Items (9)

Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables ⋮ A hierarchical clustering method for random intervals based on a similarity measure ⋮ Cluster analysis using different correlation coefficients ⋮ Self-organizing network for variable clustering ⋮ Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages ⋮ Stochastic correlation coefficient ensembles for variable selection ⋮ A smoothed bootstrap test for independence based on mutual information ⋮ Multi-sample test-based clustering for fuzzy random variables ⋮ Model-based methods to identify multiple cluster structures in a data set

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