Luca Scrucca

According to our database, Luca Scrucca authored at least 18 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Entropy-Based Anomaly Detection for Gaussian Mixture Modeling.

Luca Scrucca

Algorithms, April, 2023

Mixture-based estimation of entropy.

Stéphane Robin, Luca Scrucca

Comput. Stat. Data Anal., 2023

On the Influence of Data Imbalance on Supervised Gaussian Mixture Models.

Luca Scrucca

Algorithms, 2023

2021

A fast and efficient Modal EM algorithm for Gaussian mixtures.

Luca Scrucca

Stat. Anal. Data Min., 2021

Better than the best? Answers via model ensemble in density-based clustering.

Alessandro Casa, Luca Scrucca, Giovanna Menardi

Adv. Data Anal. Classif., 2021

2020

Handling missing data in model-based clustering.

Alessio Serafini, Thomas Brendan Murphy, Luca Scrucca

CoRR, 2020

2019

Model-based clustering with sparse covariance matrices.

Michael Fop, Thomas Brendan Murphy, Luca Scrucca

Stat. Comput., 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

Projection pursuit based on Gaussian mixtures and evolutionary algorithms.

Luca Scrucca, Alessio Serafini

CoRR, 2019

2017

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

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

Identifying connected components in Gaussian finite mixture models for clustering.

Luca Scrucca

Comput. Stat. Data Anal., 2016

2015

Improved initialisation of model-based clustering using Gaussian hierarchical partitions.

Luca Scrucca, Adrian E. Raftery

Adv. Data Anal. Classif., 2015

2014

Graphical tools for model-based mixture discriminant analysis.

Luca Scrucca

Adv. Data Anal. Classif., 2014

2013

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

2011

Model-based SIR for dimension reduction.

Luca Scrucca

Comput. Stat. Data Anal., 2011

2010

Dimension reduction for model-based clustering.

Luca Scrucca

Stat. Comput., 2010

2007

Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression.

Luca Scrucca

Comput. Stat. Data Anal., 2007