scientific article

zbMath1389.62102MaRDI QIDQ2967956

Guoqi Qian, Yuehua Wu

Publication date: 9 March 2017

Full work available at URL: http://www.ejpam.com/index.php/ejpam/article/view/1184

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

model selectionleast squaresregression clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20) Pattern recognition, speech recognition (68T10)

Related Items (1)

Partition of interval-valued observations using regression

Uses Software

• AS 136
• Algorithm 39

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• A maximum likelihood methodology for clusterwise linear regression
• An \(M\)-estimation-based procedure for determining the number of regression models in regression clustering
• Strong consistency of k-means clustering
• A fast algorithm for clusterwise linear regression
• Clusterwise linear regression
• Identifiability of models for clusterwise linear regression
• A consistent procedure for determining the number of clusters in regression clustering
• Consistency of Single Linkage for High-Density Clusters
• Finding Groups in Data
• Estimating Mixtures of Normal Distributions and Switching Regressions
• A Hybrid Clustering Method for Identifying High-Density Clusters

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