Measuring the component overlapping in the Gaussian mixture model

DOI10.1007/S10618-011-0212-3zbMath1235.68194OpenAlexW2010971425MaRDI QIDQ408670

Shengrui Wang, Haojun Sun

Publication date: 11 April 2012

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-011-0212-3

zbMATH Keywords

cluster analysismixture modeloverlap rateridge curve

Mathematics Subject Classification ID

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

Related Items (4)

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling ⋮ Clusterability assessment for Gaussian mixture models ⋮ Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination ⋮ Initializing the EM Algorithm for Univariate Gaussian, Multi-Component, Heteroscedastic Mixture Models by Dynamic Programming Partitions

Cites Work

• FCM-based model selection algorithms for determining the number of clusters
• Algorithms for Model-Based Gaussian Hierarchical Clustering
• Estimating the components of a mixture of normal distributions
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