MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering †

By Chris Fraley, Adrian E. Raftery. 2007

491 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/96530f8b891dd0c80a4a23755bca69bcfa83c864

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Citations in the corpus

Scanpaths reveal syntactic underspecification and reanalysis strategies (2012, methodology): “A cluster analysis of this map was carried out by applying mixture of Gaussian modelling (Fraley & Raftery, 2002, 2007).”
Clearing the garden-path: improving sentence processing through cognitive control training (2014, methodology): “We identified individuals who responded well to the n-back task with a model-based cluster analysis using R’s mclust function (mclust library, Fraley & Raftery, 2011), which implements maximum likelihood estimation and Bayes criteria to identify the number of naturally occurring clusters of…”
How to fail at species delimitation (2013, methodology): “This approach is implemented in R using the prabclus (Hausdorf & Hennig 2010) and mclust (Fraley & Raftery 2006) packages.”
Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions (2011, methodology): “…at least computationally cumbersome, because there is no easy statement anymore that makes sure that we only need pairs of points (in most cases) to find the ML-solution, while the R-package mclust (Fraley and Raftery (2006)) includes a useful implementation of the R-method for higher dimensions.”
Victimization History and Posttraumatic Stress: An Analysis of Psychopathy Variants in Male Juvenile Offenders (2012, methodology): “Youth were grouped into variants of psychopathy using model-based cluster analysis (MBC) from the Mclust software package (Fraley & Raftery, 2006) of S-PLUS.”
ISMARA: automated modeling of genomic signals as a democracy of regulatory motifs (2014, methodology): “separately by fitting a two-component Gaussian mixture model to the log-intensity data using the Mclust R package[22, 23].”
MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype (2007, methodology): “All analyses were performed in the statistical programming environment R [104] using customized functions and functions available from Bioconductor [105,106] and the MCLUST package [107].”
Model-based Methods of Classification: Using the mclust Software in Chemometrics (2007, methodology): “…Peyrard, Fraley, Georgian-Smith, Goldhaber, and Raftery 2006), microarray image segmentation (Li, Fraley, Bumgarner, Yeung, and Raftery 2005; Fraley and Raftery 2006c), statistical process control (Thissen, Swierenga, de Weijer, Wehrens, Melssen, and Buydens 2005), and food authenticity…”
Sympatric diversification as influenced by ecological opportunity and historical contingency in a young species lineage of whitefish (2010, unknown): “We used a model-based clustering approach implemented in the package version 3 for R (Fraley and Raftery, 2006) to determine the number of groups in each population based on gill raker number.”
What is the scanpath signature of syntactic reanalysis (2011, methodology): “Although the stress of the twodimensional map (22”
Dynamical classes of collective attention in twitter (2011, methodology): “We identify hashtag clusters in the ( f b , f a ) space of independent parameters using a standard implementation of the Expectation Maximization (EM) algorithm [38, 39] to learn an optimal Gaussian mixture model.”
Finite mixture models and model-based clustering (2010, methodology): “Inference and clustering • Mclust [44] is an R package developed in FORTRAN for multivariate Gaussian mixture models.”