Robust Cluster Analysis via Mixtures of Multivariate t-Distributions

Robust mixture modelling using the t distribution

Statistics and Computing

Clustering with EM: Complex Models vs. Robust Estimation

Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition

Bayesian analysis of mixture modelling using the multivariate t distribution

Statistics and Computing

Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm

Data Mining and Knowledge Discovery

On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples

Journal of Multivariate Analysis

Missing data imputation through GTM as a mixture of t-distributions

Neural Networks

Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution

Computational Statistics & Data Analysis

Finite mixture of α-stable distributions

Digital Signal Processing

Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models

Computational Statistics & Data Analysis

Robust Bayesian mixture modelling

Neurocomputing

Robust mixture modeling based on scale mixtures of skew-normal distributions

Computational Statistics & Data Analysis

Model-based classification via mixtures of multivariate t-distributions

Computational Statistics & Data Analysis

Extending mixtures of multivariate t-factor analyzers

Statistics and Computing

Density-based Silhouette diagnostics for clustering methods

Statistics and Computing

Robust clustering algorithms based on finite mixtures of multivariate t distribution

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions

Statistics and Computing

The infinite Student's t-factor mixture analyzer for robust clustering and classification

Pattern Recognition

Mixtures of common factor analyzers for high-dimensional data with missing information

Journal of Multivariate Analysis

Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t-distribution

Computational Statistics

Model-based clustering of high-dimensional data: A review

Computational Statistics & Data Analysis

Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition

Computational Statistics & Data Analysis

Finite mixtures of multivariate skew t-distributions: some recent and new results

Statistics and Computing