Fitting semiparametric clustering models to dissimilarity data

DOI10.1007/s11634-008-0025-4zbMath1306.62147OpenAlexW2051845845MaRDI QIDQ484231

Maurizio Vichi

Publication date: 18 December 2014

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

Full work available at URL: https://doi.org/10.1007/s11634-008-0025-4

zbMATH Keywords

partitionscluster analysisLS-estimationsemiparametric clustering models

Mathematics Subject Classification ID

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

Related Items (3)

Classification of asymmetric proximity data ⋮ Clustering via finite nonparametric ICA mixture models ⋮ Hierarchical means clustering

Uses Software

• UCI-ml
• clusfind

Cites Work

• Clique optimization: A method to construct parsimonious ultrametric trees from similarity data
• Cluster-wise assessment of cluster stability
• The best Euclidean fit to a given distance matrix in prescribed dimensions
• Parsimonious trees
• NP-hard problems in hierarchical-tree clustering
• A cutting plane algorithm for a clustering problem
• Factorization of matrices by least-squares
• Construction de l'ultramétrique la plus proche d'une dissimilarité au sens des moindres carrés
• Finding Groups in Data
• Recognition of Tree Metrics
• Fast Parallel Recognition of Ultrametrics and Tree Metrics
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Some distance properties of latent root and vector methods used in multivariate analysis
• Admissible clustering procedures
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