A polythetic clustering process and cluster validity indexes for histogram-valued objects

DOI10.1016/j.csda.2011.01.011zbMath1328.62026OpenAlexW2009167432MaRDI QIDQ901620

Jaejik Kim, L. Billard

Publication date: 12 January 2016

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

Full work available at URL: https://doi.org/10.1016/j.csda.2011.01.011

zbMATH Keywords

divisive clusteringsymbolic dataDavis-Bouldin indexDunn indexquantitative histogram data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (4)

Batch self-organizing maps for distributional data with an automatic weighting of variables and components ⋮ Dissimilarity measures and divisive clustering for symbolic multimodal-valued data ⋮ Clustering of modal-valued symbolic data ⋮ Fuzzy clustering of distributional data with automatic weighting of variable components

Uses Software

• DIVCLUS-T
• UCI-ml
• clus
• DIVFRP
• clusfind

Cites Work

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• DIVCLUS-T: a monothetic divisive hierarchical clustering method
• Symbolic Data Analysis
• Finding Groups in Data
• Well-Separated Clusters and Optimal Fuzzy Partitions
• A monothetic clustering method
• Dissimilarity Analysis: a new Technique of Hierarchical Sub-division
• Generalized Minkowski metrics for mixed feature-type data analysis
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data

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