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Mixture-based estimation of entropy
The entropy is a measure of uncertainty that plays a central role in inf...
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Handling missing data in model-based clustering
Gaussian Mixture models (GMMs) are a powerful tool for clustering, class...
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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...
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Projection pursuit based on Gaussian mixtures and evolutionary algorithms
We propose a projection pursuit (PP) algorithm based on Gaussian mixture...
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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...
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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...
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Model-based Clustering with Sparse Covariance Matrices
Finite Gaussian mixture models are widely used for model-based clusterin...
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Model-based SIR for dimension reduction
A new dimension reduction method based on Gaussian finite mixtures is pr...
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Dimension reduction for model-based clustering
We introduce a dimension reduction method for visualizing the clustering...
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