Enhancing principal direction divisive clustering

DOI10.1016/j.patcog.2010.05.025zbMath1209.68489OpenAlexW2081699408MaRDI QIDQ991947

S. K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos

Publication date: 8 September 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.05.025

zbMATH Keywords

clusteringprincipal component analysiskernel density estimation

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (4)

Divisive clustering of high dimensional data streams ⋮ Attainable accuracy guarantee for the \(k\)-medians clustering in [0, 1] ⋮ Enhancing principal direction divisive clustering ⋮ Bisecting K-means and 1D projection divisive clustering: a unified framework and experimental comparison

Uses Software

• UCI-ml
• KernSmooth
• AS 136

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Communality of a variable: Formulation by cluster analysis
• Enhancing principal direction divisive clustering
• Cure: An efficient clustering algorithm for large databases
• Bandwidth selection for kernel distribution function estimation
• Smoothing parameter selection for smooth distribution functions
• Grouping Multidimensional Data
• The linear nearest neighbour statistic
• The Fast Gauss Transform
• Concept decompositions for large sparse text data using clustering

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