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20142026
most citedVariable Selection Methods for Model-based Clustering

128 citations · 237 across the 19 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

stat.ME2017

Model-based Clustering with Sparse Covariance Matrices

Michael Fop, Thomas Brendan Murphy, Luca Scrucca

Finite Gaussian mixture models are widely used for model-based clustering of continuous data. Nevertheless, since the number of model parameters scales quadratically with the numbe…

stat.ME2017★ 128 cited

Variable Selection Methods for Model-based Clustering

Michael Fop, Thomas Brendan Murphy

Model-based clustering is a popular approach for clustering multivariate data which has seen applications in numerous fields. Nowadays, high-dimensional data are more and more comm…