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Modal clustering on PPGMMGA projection subspace
PPGMMGA is a Projection Pursuit (PP) algorithm aimed at detecting and vi...
06/22/2021 ∙ by Luca Scrucca, et al. ∙
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A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy
Detecting changes in COVID-19 disease transmission over time is a key in...
04/03/2021 ∙ by Luca Scrucca, et al. ∙
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Mixture-based estimation of entropy
The entropy is a measure of uncertainty that plays a central role in inf...
10/08/2020 ∙ by Stéphane Robin, et al. ∙
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Handling missing data in model-based clustering
Gaussian Mixture models (GMMs) are a powerful tool for clustering, class...
06/04/2020 ∙ by Alessio Serafini, et al. ∙
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A fast and efficient Modal EM algorithm for Gaussian mixtures
In the modal approach to clustering, clusters are defined as the local m...
02/10/2020 ∙ by Luca Scrucca, et al. ∙
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Projection pursuit based on Gaussian mixtures and evolutionary algorithms
We propose a projection pursuit (PP) algorithm based on Gaussian mixture...
12/27/2019 ∙ by Luca Scrucca, et al. ∙
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How bettering the best? Answers via blending models and cluster formulations in density-based clustering
With the recent growth in data availability and complexity, and the asso...
11/15/2019 ∙ by Alessandro Casa, et al. ∙
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A transformation-based approach to Gaussian mixture density estimation for bounded data
Finite mixture of Gaussian distributions provide a flexible semi-paramet...
07/17/2018 ∙ by Luca Scrucca, et al. ∙
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Model-based Clustering with Sparse Covariance Matrices
Finite Gaussian mixture models are widely used for model-based clusterin...
11/21/2017 ∙ by Michael Fop, et al. ∙
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Model-based SIR for dimension reduction
A new dimension reduction method based on Gaussian finite mixtures is pr...
08/10/2015 ∙ by Luca Scrucca, et al. ∙
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Dimension reduction for model-based clustering
We introduce a dimension reduction method for visualizing the clustering...
08/07/2015 ∙ by Luca Scrucca, et al. ∙
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