A tractable multi-partitions clustering

DOI10.1016/j.csda.2018.06.013OpenAlexW2963741623MaRDI QIDQ1727863

Vincent Vandewalle, Matthieu Marbac

Publication date: 21 February 2019

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

Full work available at URL: https://arxiv.org/abs/1801.07063

zbMATH Keywords

model-based clusteringmixture modelmodel choicevariables selectionmixed-data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

Related Items (4)

Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models ⋮ Simultaneous Semiparametric Estimation of Clustering and Regression ⋮ Editorial for the 4th special issue on advances in mixture models ⋮ Bayesian bi-clustering methods with applications in computational biology

Uses Software

• PGMM
• VarSelLCM
• sparcl

Cites Work

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• Variable selection for model-based clustering using the integrated complete-data likelihood
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• Identifiability of parameters in latent structure models with many observed variables
• Estimating the dimension of a model
• Modelling the role of variables in model-based cluster analysis
• Model-based clustering of high-dimensional data: variable selection versus facet determination
• Variable Selection for Clustering with Gaussian Mixture Models
• A Framework for Feature Selection in Clustering
• Identifiability of Finite Mixtures
• Identifiability of Mixtures of Product Measures
• Variable Selection for Model-Based Clustering

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