Advances in data analysis and classification

Keyphrases

Publications

volume 18, number 3, 2023

Ryan P Browne, Luca Bagnato, Antonio Punzo
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. Advances in data analysis and classification 18 (3) (2023)

2022

Christian Acal, Ana M Aguilera
Basis expansion approaches for functional analysis of variance with repeated measures. Advances in data analysis and classification (2022)
Federico Ferraccioli, Giovanna Menardi
Modal clustering of matrix-variate data. Advances in data analysis and classification (2022)
Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi
The role of diversity and ensemble learning in credit card fraud detection. Advances in data analysis and classification (2022)

volume 16, number 1, 2022

Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
Unobserved classes and extra variables in high-dimensional discriminant analysis. Advances in data analysis and classification 16 (1) (2022)

volume 16, number 2, 2021

Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter
How many data clusters are in the Galaxy data set?: Bayesian cluster analysis in action. Advances in data analysis and classification 16 (2) (2021)

volume 16, number 3, 2021

Tin Lok James Ng, Thomas Brendan Murphy
Model-based clustering for random hypergraphs. Advances in data analysis and classification 16 (3) (2021)

volume 13, number 1, 2018

Sylvia Frühwirth-Schnatter, Gertraud Malsiner-Walli
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. Advances in data analysis and classification 13 (1) (2018)

volume 12, number 4, 2016

Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Miftahuddin Miftahuddin, Werner Adler, Berthold Lausen
Ensemble of a subset of kNN classifiers. Advances in data analysis and classification 12 (4) (2016)

volume 9, number 4, 2015

Luca Scrucca, Adrian E Raftery
Improved initialisation of model-based clustering using Gaussian hierarchical partitions. Advances in data analysis and classification 9 (4) (2015)