Paul McNicholas

The following R software is freely available.

oclust: Gaussian Model-Based Clustering with Outliers

Performs model-based clustering while accounting for outliers without requiring pre-specification of the number of outliers.

Available for download on CRAN.

Relevant reports and papers:

ClickClustCont: Mixtures of Continuous Time Markov Models

Performs model-based clustering for clickstream data.

Available for download on CRAN .

Relevant reports and papers:

mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification

Performs model-based clustering and classification via mixtures of multivariate skew power exponential and power exponential distributions.

Available for download on CRAN.

Relevant reports and papers:

longclust: Model-Based Clustering and Classification for Longitudinal Data

Performs model-based clustering and classification for longitudinal data. A modified Cholesky decomposition is used and there is the option to use a linear mode for the mean. The default model is a mixture of multivariate t-distributions but a mixture of Gaussian distributions is also available.

Available for download on CRAN

Relevant reports and papers:

MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

Performs model-based clustering, classification, and discriminant analysis using  approaches based on generalized hyperbolic mixture models. Several approaches are implemented, including a mixture of generalized hyperbolic factor analyzers, a mixture of multiple scaled hyperbolic distributions, and a mixture of coalesced generalized hyperbolic distributions.

Available for download on CRAN.

Relevant reports and papers:

pgmm: Parsimonious Gaussian Mixture Models

Performs model-based clustering and classification using parsimonious Gaussian mixture models. The mixture of factor analyzers and mixture of probabilistic principal components analyzers models are special cases.

Available for download on CRAN.

Relevant reports and papers:

teigen: Model-Based Clustering and Classification with the Multivariate t-Distribution

Performs model-based clustering and classification using the teigen family of mixtures of multivariate t-distributions. An eigen-decomposed component covariance structure is used.

Available for download on CRAN.

Relevant reports and papers:

mixture: Mixture Models for Clustering and Classification

Performs model-based clustering and classification using Gaussian parsimonious mixture models. All 14 mixture models used by Celeux and Goavert (1995) are implemented.

Available for download on CRAN.

Relevant reports and papers:

ContaminatedMixt: Model-Based Clustering and Classification with the Multivariate Contaminated Normal Distribution

Performs model-based clustering and classification with the multivariate contaminated normal distribution.

Available for download on CRAN.

Relevant reports and papers:

FPDclustering: PD-Clustering and Factor PD-Clustering

Performs probabilistic distance (PD)  clustering  and factor PD-clustering .

Available for download on CRAN.

Relevant reports and papers:

sensory: Simultaneous Model-Based Clustering and Imputation via a Progressive Expectation-Maximization Algorithm

An implementation of the CUU PGMM model with missing data.

Available for download on CRAN.

Relevant reports and papers:

pmcgd: Parsimonious Mixtures of Contaminated Gaussian Distributions

Performs  robust model-based clustering  via mixtures of contaminated Gaussian distributions .

Available for download on CRAN.

Relevant reports and papers:

vscc: Variable Selection for Clustering and Classification

Performs variable selection for model-based clustering and classification.

Available for download on CRAN.

Relevant reports and papers:

VLF: Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records

Using frequency matrices, very low frequency variants are assessed for amino acid and nucleotide sequences.

Available for download on CRAN.

Relevant reports and papers: