Luca Scrucca

发表

Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

Luca Scrucca, Alessio Serafini, L. Scrucca, 2019, Journal of Computational and Graphical Statistics.

Normal Mixture Modelling for Model-Based Clustering,Classification, and Density Estimation

Adrian E. Raftery, Luca Scrucca, Chris Fraley, 2015 .

A Comparison of Model-Based and Fuzzy Clustering Methods

Luca Scrucca, Alessio Serafini, Maria Ferraro, 2018 .

clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R.

Luca Scrucca, Adrian E Raftery, A. Raftery, 2018, Journal of statistical software.

GA: Genetic Algorithms

Luca Scrucca, L. Scrucca, 2012 .

How bettering the best? Answers via blending models and cluster formulations in density-based clustering

Luca Scrucca, Giovanna Menardi, Alessandro Casa, 2019 .

Dimension reduction for model-based clustering

Luca Scrucca, L. Scrucca, Luca Scrucca, 2015, Stat. Comput..

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

Luca Scrucca, L. Scrucca, 2007, Comput. Stat. Data Anal..

Graphical tools for model-based mixture discriminant analysis

Luca Scrucca, Luca Scrucca, 2013, Advances in Data Analysis and Classification.

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

Luca Scrucca, Adrian E Raftery, Michael Fop, 2016, R J..

Model-based clustering with sparse covariance matrices

Thomas Brendan Murphy, Luca Scrucca, Michael Fop, 2017, Statistics and Computing.

Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap

Thomas Brendan Murphy, Luca Scrucca, Isobel Claire Gormley, 2015, Computational Statistics.

Dimension reduction for model-based clustering via mixtures of multivariate $$t$$t-distributions

Paul D. McNicholas, Luca Scrucca, Katherine Morris, 2013, Adv. Data Anal. Classif..

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

Luca Scrucca, Giovanna Menardi, Alessandro Casa, 2020 .

GA: A Package for Genetic Algorithms in R

Luca Scrucca, L. Scrucca, Luca Scrucca, 2013 .

clustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R

Adrian E. Raftery, Luca Scrucca, A. Raftery, 2014, 1411.0606.

Quality Control Charts [R package qcc version 2.7]

Luca Scrucca, L. Scrucca, 2017 .

Handling missing data in model-based clustering pdf

Thomas Brendan Murphy, Luca Scrucca, Alessio Serafini, 2020, ArXiv.

Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat.

Luca Scrucca, L. Scrucca, Luca Scrucca, 2001 .

Abbreviating Items Measures using Genetic Algorithms [R package GAabbreviate version 1.3]

Luca Scrucca, Baljinder K. Sahdra, L. Scrucca, 2016 .

Improved initialisation of model-based clustering using Gaussian hierarchical partitions

Adrian E. Raftery, Luca Scrucca, A. Raftery, 2015, Adv. Data Anal. Classif..

Model-based SIR for dimension reduction

Luca Scrucca, L. Scrucca, 2011, Comput. Stat. Data Anal..

Fitting Extra-Poisson Variation in Poisson Regression Models using Arc

Luca Scrucca, 2000 .

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, Luca Scrucca, 2016, R J..

Events and sustainable mobility: a model based on cluster analysis

Luca Scrucca, Cecilia Chirieleison, Alessandro Montrone, 2018 .

Identifying connected components in Gaussian finite mixture models for clustering

Luca Scrucca, L. Scrucca, Luca Scrucca, 2016, Comput. Stat. Data Anal..

Regularized Sliced Inverse Regression with Applications in Classification

Luca Scrucca, 2006 .

A fast and efficient Modal EM algorithm for Gaussian mixtures

Luca Scrucca, L. Scrucca, 2020, Stat. Anal. Data Min..

Modal clustering on PPGMMGA projection subspace

Luca Scrucca, L. Scrucca, 2021, Australian & New Zealand Journal of Statistics.

A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy

Luca Scrucca, L. Scrucca, Luca Scrucca, 2021, Statistical Methods & Applications.

A Geometric Approach to Subset Selection and Sparse Sufficient Dimension Reduction

Luca Scrucca, L. Scrucca, Luca Scrucca, 2011 .

A Simulation Study to Investigate the Behavior of the Log-Density Ratio Under Normality

Luca Scrucca, Sanford Weisberg, S. Weisberg, 2004 .

The mclust R package for clustering, classification and density estimation using Gaussian finite mixture models

Adrian E. Raftery, Thomas Brendan Murphy, Luca Scrucca, 2017 .

Clustering multivariate spatial data based on local measures of spatial autocorrelation

Luca Scrucca, L. Scrucca, Luca Scrucca, 2005 .

A statistical test for drainage network recognition using MeanStreamDrop analysis

Luca Scrucca, Annalisa Minelli, Pierluigi De Rosa, 2015 .