mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models
University of Perugia · University College Dublin · +2 more institutions
Abstract
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…
Citation impact
- FWCI
- 201.42
- Percentile
- 100%
- References
- 72
Authors
4- LSLuca ScruccaCorresponding
University of Perugia
- MFMichael Fop
University College Dublin
- TBThomas Brendan Murphy
University College Dublin
- ARAdrian,E. Raftery
University of Washington, University of Washington Applied Physics Laboratory
Topics & keywords
- Mixture model
- Cluster analysis
- Covariance
- Computer science
- Dimensionality reduction
- Model selection
- Gaussian
- Inference