Probabilistic model-based discriminant analysis and clustering methods in chemometrics

Discriminative variable selection for clustering with the sparse Fisher-EM algorithm

(2013) Charles Bouveyron et al.   COMPUTATIONAL STATISTICS

Funclust: A curves clustering method using functional random variables density approximation

(2013) Julien Jacques et al.   NEUROCOMPUTING

Mixtures of Gaussian wells: Theory, computation, and application

(2012) Ioanna Manolopoulou et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Computational aspects of fitting mixture models via the expectation–maximization algorithm

(2012) Adrian O’Hagan et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

EM algorithms for multivariate Gaussian mixture models with truncated and censored data

(2012) Gyemin Lee et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A generative model for rank data based on insertion sort algorithm

(2012) Christophe Biernacki et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm

(2012) Charles Bouveyron et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis

(2012) Charles Bouveyron et al.   NEUROCOMPUTING

Initializing the EM algorithm in Gaussian mixture models with an unknown number of components

(2011) Volodymyr Melnykov et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Letter to the Editor

(2011)   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

(2011) Charles Bouveyron et al.   STATISTICS AND COMPUTING

Model-based clustering of time series in group-specific functional subspaces

(2011) Charles Bouveyron et al.   Advances in Data Analysis and Classification

Model-based clustering of microarray expression data via latent Gaussian mixture models

(2010) P. D. McNicholas et al.   BIOINFORMATICS

Gaussian mixture models for the classification of high-dimensional vibrational spectroscopy data

(2010) Julien Jacques et al.   JOURNAL OF CHEMOMETRICS

Heteroscedastic factor mixture analysis

(2010) Angela Montanari et al.   STATISTICAL MODELLING

Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data

(2009) Benhuai Xie et al.   BIOINFORMATICS

Variable Selection for Clustering with Gaussian Mixture Models

(2009) Cathy Maugis et al.   BIOMETRICS

Penalized factor mixture analysis for variable selection in clustered data

(2009) Giuliano Galimberti et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Variable selection in model-based clustering: A general variable role modeling

(2009) C. Maugis et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Model-based classification using latent Gaussian mixture models

(2009) Paul D. McNicholas   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation

(2008) Olivier Devos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Dimensionality Reduction of Clustered Data Sets

(2008) Guido Sanguinetti   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Parsimonious Gaussian mixture models

(2008) Paul David McNicholas et al.   STATISTICS AND COMPUTING

Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables

(2008) Benhuai Xie et al.   Electronic Journal of Statistics

Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

(2007) Sijian Wang et al.   BIOMETRICS