Dissimilarity and similarity measures for comparing dendrograms and their applications

DOI10.1007/s11634-012-0106-2zbMath1284.62385OpenAlexW2004403267MaRDI QIDQ693037

Isabella Morlini, Sérgio Luís Zani

Publication date: 7 December 2012

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

Full work available at URL: https://doi.org/10.1007/s11634-012-0106-2

zbMATH Keywords

partitionsdistancecluster analysisvariable selection\(L_1\) normconsensus of classificationshierarchical treessimilarity of dendrograms

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• Matlab

Cites Work

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• On the equivalence of Cohen's kappa and the Hubert-Arabie adjusted Rand index
• Selection of variables in cluster analysis: An empirical comparison of eight procedures
• Optimal algorithms for comparing trees with labeled leaves
• Partitions of partitions
• Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
• Comparing clusterings -- an information based distance
• Transfer distance between partitions
• Selection of Variables for Cluster Analysis and Classification Rules
• A Method for Comparing Two Hierarchical Clusterings
• Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
• Bayesian Variable Selection in Clustering High-Dimensional Data

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