Volume 9, Issue 4 | Advances in Data Analysis and Classification

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Volume 9, Issue 4

December 2015

Special Issue on New Trends on Model-Based Clustering and Classification

Issue Editors:

Salvatore Ingrassia,
Geoffrey McLachlan,
Gérard Govaert

7 articles in this issue

Special issue on “New trends on model-based clustering and classification”

Editorial 26 November 2015 Pages: 367 - 369
Maximum likelihood estimation of Gaussian mixture models without matrix operations
Hien D. Nguyen
Geoffrey J. McLachlan
Regular Article 05 June 2015 Pages: 371 - 394
Probabilistic assessment of model-based clustering
Xuwen Zhu
Volodymyr Melnykov
Regular Article 26 August 2015 Pages: 395 - 422
Robust model-based clustering via mixtures of skew-t distributions with missing information
Wan-Lun Wang
Tsung-I Lin
Regular Article 17 November 2015 Pages: 423 - 445
Improved initialisation of model-based clustering using Gaussian hierarchical partitions
Luca Scrucca
Adrian E. Raftery
Regular Article 26 October 2015 Pages: 447 - 460
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library
Marco Riani
Andrea Cerioli
Francesca Torti
Regular Article Open access 21 November 2015 Pages: 461 - 481
Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition
Maria Francesca Marino
Marco Alfó
Regular Article 20 November 2015 Pages: 483 - 502