Dissimilarity measures and divisive clustering for symbolic multimodal-valued data

DOI10.1016/j.csda.2012.03.001zbMath1255.62025OpenAlexW1977647458MaRDI QIDQ1927059

Jaejik Kim, L. Billard

Publication date: 30 December 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2012.03.001

zbMATH Keywords

divisive clusteringGowda-Diday dissimilarity measureIchino-Yaguchi dissimilarity measuremultimodal-valued data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Statistical tables (62Q05)

Related Items (2)

Classification of histogram-valued data with support histogram machines ⋮ Clustering of modal-valued symbolic data

Uses Software

• SODAS

Cites Work

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• A polythetic clustering process and cluster validity indexes for histogram-valued objects
• New approaches in classification and data analysis
• Symbolic Data Analysis
• A monothetic clustering method
• Dissimilarity Measures for Histogram-valued Observations
• Dissimilarity Analysis: a new Technique of Hierarchical Sub-division
• Generalized Minkowski metrics for mixed feature-type data analysis
• Symbolic Data Analysis and the SODAS Software
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data

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