A mixture model for the classification of three-way proximity data-Reference-Cited by-同舟云学术

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A mixture model for the classification of three-way proximity data

Published:2006-04 Issue:7 Volume:50 Page:1625-1654
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Bocci Laura,Vicari Donatella,Vichi Maurizio

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference22 articles.

1. Three-Way Scaling and Clustering;Arabie,1987

2. Model based Gaussian and non-Gaussian clustering;Banfield;Biometrics,1993

3. The mixture model of clustering applied to three-way data;Basford;J. Classification,1985

4. Mixture Models. Inference and Application to Clustering;Basford,1988

5. Model selection and Akaike's information criterion (AIC): the general theory and its analytical extensions;Bozdogan;Psychometrika,1987

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Co-Clustering for Object by Variable Data Matrices;Advanced Studies in Behaviormetrics and Data Science;2020

2. ROOTCLUS: Searching for “ROOT CLUSters” in Three-Way Proximity Data;Psychometrika;2019-09-13

3. GINDCLUS: Generalized INDCLUS with External Information;Psychometrika;2016-10-12

4. High-dimensional data clustering;Computational Statistics & Data Analysis;2007-09

5. Statistical Learning Methods Including Dimensionality Reduction;Computational Statistics & Data Analysis;2007-09

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