74 citations · 277 across the 20 of their papers we have counts for
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stat.ML2019★ 4 cited
Projection pursuit based on Gaussian mixtures and evolutionary algorithms
Luca Scrucca, Alessio Serafini
We propose a projection pursuit (PP) algorithm based on Gaussian mixture models (GMMs). The negentropy obtained from a multivariate density estimated by GMMs is adopted as the PP i…
stat.ME2019★ 8 cited
Better than the best? Answers via model ensemble in density-based clustering
Alessandro Casa, Luca Scrucca, Giovanna Menardi
With the recent growth in data availability and complexity, and the associated outburst of elaborate modelling approaches, model selection tools have become a lifeline, providing o…