Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

DOI10.1007/s11634-020-00411-wOpenAlexW3045355854MaRDI QIDQ2036170

Kadri Umbleja, Hiroyuki Yaguchi, Manabu Ichino

Publication date: 28 June 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-020-00411-w

zbMATH Keywords

symbolic dataconceptual clusteringquantile method

Mathematics Subject Classification ID

Computational aspects of data analysis and big data (68T09)

Uses Software

• SODAS

Cites Work

• Hierarchical clustering schemes
• Some extensions of Johnson's hierarchical clustering algorithms
• 10.1162/153244302760185234
• Symbolic Data Analysis
• On-line hierarchical clustering
• Relative clustering validity criteria: A comparative overview
• The quantile method for symbolic principal component analysis
• Generalized Minkowski metrics for mixed feature-type data analysis

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