Heteroscedastic factor mixture analysis

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Statistical Modelling

• Publication date

  2010-12-01

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1177/1471082X0901000405
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Studies in Classification Data Analysis and knowledge Organization

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  2005cited by this paper
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• Model-based Density Estimation by Independent Factor Analysis

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• A mixed factors model for dimension reduction and extraction of a group structure in gene expression data

  2004influential reference
• Latent class models for classification

  2003cited by this paper
• Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST

  2003cited by this paper
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  2003influential reference
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  2002cited by this paper
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  2002cited by this paper
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  2001cited by this paper
• ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation

  2000cited by this paper
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  2000cited by this paper
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  1999cited by this paper
• Independent Factor Analysis

  1999cited by this paper
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  1998cited by this paper
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  1998cited by this paper
• Probabilistic models in cluster analysis

  1996cited by this paper
• Model-based Gaussian and non-Gaussian clustering

  1993cited by this paper
• Measurement invariance, factor analysis and factorial invariance

  1993cited by this paper
• Multiple-group structural modelling with non-normal continuous variables.

  1989cited by this paper
• The sensitivity of latent trait analysis to choice of prior distribution

  1988cited by this paper
• Statistical analysis of finite mixture distributions

  1986influential reference
• A k-means clustering algorithm

  1979influential reference
• Estimating the Dimension of a Model

  1978cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• A MORPHOMETRIC ANALYSIS OF DIFFERENTIAL SEXUAL DIMORPHISM IN LARVAE OF CHIRONOMUS (DIPTERA)

  1971cited by this paper
• Some contributions to maximum likelihood factor analysis

  1967cited by this paper
• Cluster analysis of multivariate data : efficiency versus interpretability of classifications

  1965cited by this paper
• VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood

  1940cited by this paper

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  2018cites this paper
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  2018cites this paper
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  2017cites this paper
• Deep Gaussian mixture models

  2017cites this paper
• Migraine Subclassification via a Data‐Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements

  2017influential citation
• A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications

  2017cites this paper
• Approximate Inference for Deep Latent Gaussian Mixtures

  2016cites this paper
• Model-Based Clustering

  2016cites this paper
• A classification method for binary predictors combining similarity measures and mixture models

  2015cites this paper
• Mixtures of common t-factor analyzers for modeling high-dimensional data with missing values

  2015cites this paper
• Contributions à la détection et au diagnostic de fautes dans les systèmes par réseaux Bayésiens

  2015cites this paper
• A robust factor analysis model using the restricted skew-$$t$$t distribution

  2015cites this paper
• Automated learning of factor analysis with complete and incomplete data

  2014cites this paper
• A factor mixture model for analyzing heterogeneity and cognitive structure of dementia

  2014cites this paper
• A hierarchical modeling approach for clustering probability density functions

  2014cites this paper
• Multidimensional Item Factor Analysis with Semi-Nonparametric Latent Densities

  2014cites this paper
• Model-based clustering of high-dimensional data: A review

  2014influential citation
• Variable Selection for Clustering and Classification

  2013cites this paper
• Variable Selection for Clustering and Classification

  2013cites this paper
• A factor mixture model for analyzing heterogeneity and cognitive structure of dementia

  2013cites this paper
• Probabilistic model‐based discriminant analysis and clustering methods in chemometrics

  2013cites this paper
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• Probabilistic model‐based discriminant analysis and clustering methods in chemometrics

  2013cites this paper
• Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm

  2012cites this paper
• Discriminative variable selection for clustering with the sparse Fisher-EM algorithm

  2012cites this paper
• On the estimation of the latent discriminative subspace in the Fisher-EM algorithm

  2012cites this paper
• Bayesian Modeling and Computation for Mixed Data

  2012cites this paper
• Probabilistic Fisher discriminant analysis

  2012cites this paper
• Italian contributions on some recent research topics in cluster analysis

  2012cites this paper
• Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables

  2012influential citation
• Contribution à l'apprentissage statistique à base de modèles génératifs pour données complexes.

  2012cites this paper
• Contributions à l'apprentissage statistique en grande dimension, adaptatif et sur données atypiques

  2012cites this paper
• The infinite Student's t-factor mixture analyzer for robust clustering and classification

  2012influential citation
• Clustering and classification via cluster-weighted factor analyzers

  2012cites this paper
• Kernel discriminant analysis and clustering with parsimonious Gaussian process models

  2012cites this paper
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  2012influential citation
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  2012cites this paper
• Heterogeneity and symptom structure of schizophrenia.

  2012cites this paper
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  2012cites this paper
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  2011cites this paper
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  2011cites this paper
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  2011cites this paper
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