Who Cited It

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

2016 · The R Journal · 3,074 citations · 1 from inside this corpus

Luca Scrucca, Michael Fop, Thomas Brendan Murphy

Finite mixture models are being used increasingly to model a wide variety of random phenomena for clustering, classification and density estimation. mclust is a powerful and popular package which allows modelling of data as a Gaussian finite mixture with different covariance structures and different numbers of mixture components, for a variety of purposes of analysis. Recently, version 5 of the package has been made available on CRAN. This updated version adds new covariance structures, dimension reduction capabilities for visualisation, model selection criteria, initialisation strategies for the EM algorithm, and bootstrap-based inference, making it a full-featured R package for data analysis via finite mixture modelling.

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture… (2016)mclust 5: Clustering, Classif…Model-Based Clustering, Discriminant Analysis, and Density Estimation (2002)Model-Based Clustering, Discr…Model-Based Gaussian and Non-Gaussian Clustering (1993)Model-Based Gaussian and Non-…Assessing a mixture model for clustering with the integrated completed likelihood (2000)Assessing a mixture model for…Finite Mixture Models (2000)Finite Mixture Models
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What this paper cites, inside the corpus

PaperYearCited
Model-Based Clustering, Discriminant Analysis, and Density Estimation20024,342
Model-Based Gaussian and Non-Gaussian Clustering19932,408
Assessing a mixture model for clustering with the integrated completed likelihood20001,522

What cites it, inside the corpus

PaperYearCited
Finite Mixture Models20007,427

Links

DOI · Open access copy · OpenAlex record

Topics

Bayesian Methods and Mixture ModelsComputer Science
Algorithms and Data CompressionComputer Science
Advanced Clustering Algorithms ResearchComputer Science

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  • supports3 author record(s) attached.
  • supports72 reference(s) recorded.
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  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

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