Luca Scrucca

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 13

Top Topics

Density Estimation

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Publications

Luca Scrucca
Entropy-Based Anomaly Detection for Gaussian Mixture Modeling. Algorithms 16 (4) (2023)
Luca Scrucca
On the Influence of Data Imbalance on Supervised Gaussian Mixture Models. Algorithms 16 (12) (2023)
Stéphane Robin, Luca Scrucca
Mixture-based estimation of entropy. Comput. Stat. Data Anal. 177 (2023)
Luca Scrucca
A fast and efficient Modal EM algorithm for Gaussian mixtures. Stat. Anal. Data Min. 14 (4) (2021)
Alessandro Casa, Luca Scrucca, Giovanna Menardi
Better than the best? Answers via model ensemble in density-based clustering. Adv. Data Anal. Classif. 15 (3) (2021)
Alessio Serafini, Thomas Brendan Murphy, Luca Scrucca
Handling missing data in model-based clustering. CoRR (2020)
Luca Scrucca, Alessio Serafini
Projection pursuit based on Gaussian mixtures and evolutionary algorithms. CoRR (2019)
Michael Fop, Thomas Brendan Murphy, Luca Scrucca
Model-based clustering with sparse covariance matrices. Stat. Comput. 29 (4) (2019)
Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca, Isobel Claire Gormley
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. Comput. Stat. 34 (4) (2019)
Luca Scrucca
On Some Extensions to GA Package: Hybrid Optimisation, Parallelisation and Islands EvolutionOn some extensions to GA package: hybrid optimisation, parallelisation and islands evolution. R J. 9 (1) (2017)
Luca Scrucca, Michael Fop, Thomas Brendan Murphy, Adrian E. Raftery
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. R J. 8 (1) (2016)
Luca Scrucca
Identifying connected components in Gaussian finite mixture models for clustering. Comput. Stat. Data Anal. 93 (2016)
Luca Scrucca, Adrian E. Raftery
Improved initialisation of model-based clustering using Gaussian hierarchical partitions. Adv. Data Anal. Classif. 9 (4) (2015)
Luca Scrucca
Graphical tools for model-based mixture discriminant analysis. Adv. Data Anal. Classif. 8 (2) (2014)
Katherine Morris, Paul D. McNicholas, Luca Scrucca
Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. Adv. Data Anal. Classif. 7 (3) (2013)
Luca Scrucca
Model-based SIR for dimension reduction. Comput. Stat. Data Anal. 55 (11) (2011)
Luca Scrucca
Dimension reduction for model-based clustering. Stat. Comput. 20 (4) (2010)
Luca Scrucca
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression. Comput. Stat. Data Anal. 52 (1) (2007)