Clustering construction on a multimodal probability model

DOI10.1016/j.ins.2013.03.007zbMath1320.68155OpenAlexW2146259456MaRDI QIDQ497188

Pengwei Hao, Jian Yu, Miin-Shen Yang

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.03.007

zbMATH Keywords

cluster analysisfuzzy \(c\)-means\(k\)-meansexpectation and maximizationmultimodal probability modelpenalized-type clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• clusfind

Cites Work

• A robust EM clustering algorithm for Gaussian mixture models
• A maximum likelihood methodology for clusterwise linear regression
• Clustering criteria for discrete data and latent class models
• On a class of fuzzy classification maximum likelihood procedures
• A survey of fuzzy clustering
• Constrained latent class analysis of three-way three-mode data
• Estimation of parameters in latent class models using fuzzy clustering algorithms
• Fitting a mixture model to three-mode three-way data with categorical and continuous variables
• Hierarchical classes models for three-way three-mode binary data: interrelations and model selection
• A modification of the Lloyd algorithm for \(k\)-anonymous quantization
• Mean shift-based clustering
• When Do Latent Class Models Overstate Accuracy for Diagnostic and Other Classifiers in the Absence of a Gold Standard?
• Information Theory and Statistical Mechanics
• Finding Groups in Data
• Asymptotic behaviour of classification maximum likelihood estimates
• Least squares quantization in PCM
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