Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression. - Luca Scrucca (Comput. Stat. Data Anal., 2007)

Dimension reduction for model-based clustering. - Luca Scrucca (Stat. Comput., 2010)

Model-based SIR for dimension reduction. - Luca Scrucca (Comput. Stat. Data Anal., 2011)

Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. - Katherine Morris; Paul D. McNicholas; Luca Scrucca (Adv. Data Anal. Classif., 2013)

Graphical tools for model-based mixture discriminant analysis. - Luca Scrucca (Adv. Data Anal. Classif., 2014)

Improved initialisation of model-based clustering using Gaussian hierarchical partitions. - Luca Scrucca; Adrian E. Raftery (Adv. Data Anal. Classif., 2015)

Identifying connected components in Gaussian finite mixture models for clustering. - Luca Scrucca (Comput. Stat. Data Anal., 2016)

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. - Luca Scrucca; Michael Fop; Thomas Brendan Murphy; Adrian E. Raftery (R J., 2016)

On Some Extensions to GA Package: Hybrid Optimisation, Parallelisation and Islands EvolutionOn some extensions to GA package: hybrid optimisation, parallelisation and islands evolution. - Luca Scrucca (R J., 2017)

Projection pursuit based on Gaussian mixtures and evolutionary algorithms. - Luca Scrucca; Alessio Serafini (CoRR, 2019)

Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. - Adrian O'Hagan; Thomas Brendan Murphy; Luca Scrucca; Isobel Claire Gormley (Comput. Stat., 2019)

Model-based clustering with sparse covariance matrices. - Michael Fop; Thomas Brendan Murphy; Luca Scrucca (Stat. Comput., 2019)

Handling missing data in model-based clustering. - Alessio Serafini; Thomas Brendan Murphy; Luca Scrucca (CoRR, 2020)

Better than the best? Answers via model ensemble in density-based clustering. - Alessandro Casa; Luca Scrucca; Giovanna Menardi (Adv. Data Anal. Classif., 2021)

A fast and efficient Modal EM algorithm for Gaussian mixtures. - Luca Scrucca (Stat. Anal. Data Min., 2021)

On the Influence of Data Imbalance on Supervised Gaussian Mixture Models. - Luca Scrucca (Algorithms, 2023)

Mixture-based estimation of entropy. - Stéphane Robin; Luca Scrucca (Comput. Stat. Data Anal., 2023)

Entropy-Based Anomaly Detection for Gaussian Mixture Modeling. - Luca Scrucca (Algorithms, 2023)

A model-based approach to shot charts estimation in basketball. - Luca Scrucca; Dimitris Karlis (Comput. Stat., 2025)