Special issue on “Advances on model-based clustering and classification”

JOURNAL ARTICLE published March 2019 in Advances in Data Analysis and Classification

Authors: Sylvia Frühwirth-Schnatter | Salvatore Ingrassia | Agustín Mayo-Iscar

Special issue on “Model-based clustering and classification” (part 2)

JOURNAL ARTICLE published March 2014 in Advances in Data Analysis and Classification

Special issue on “New trends on model-based clustering and classification”

JOURNAL ARTICLE published December 2015 in Advances in Data Analysis and Classification

Improved initialisation of model-based clustering using Gaussian hierarchical partitions

JOURNAL ARTICLE published December 2015 in Advances in Data Analysis and Classification

Research funded by National Institute of Child Health and Human Development (R01-HD054511) | National Institute of Child Health and Human Development (R01-HD070936) | National Institutes of Health (U54-HL127624) | Science Foundation Ireland (11/W.1/I2079)

Authors: Luca Scrucca | Adrian E. Raftery

Model-based clustering of time series in group-specific functional subspaces

JOURNAL ARTICLE published December 2011 in Advances in Data Analysis and Classification

Authors: Charles Bouveyron | Julien Jacques

Semiparametric mixtures of regressions with single-index for model based clustering

JOURNAL ARTICLE published June 2020 in Advances in Data Analysis and Classification

Research funded by National Natural Science Foundation of China (11601477) | Natural Science Foundation (DMS-1461677) | Department of Energy (10006272) | Natural Science Foundation of Zhejiang Province (LY19A010006)

Authors: Sijia Xiang | Weixin Yao

Supervised box clustering

JOURNAL ARTICLE published March 2017 in Advances in Data Analysis and Classification

Authors: Vincenzo Spinelli

A simulation study to compare robust clustering methods based on mixtures

JOURNAL ARTICLE published September 2010 in Advances in Data Analysis and Classification

Authors: Pietro Coretto | Christian Hennig

A clustering ensemble framework based on elite selection of weighted clusters

JOURNAL ARTICLE published June 2013 in Advances in Data Analysis and Classification

Authors: Hamid Parvin | Behrouz Minaei-Bidgoli

Gaussian mixture modeling and model-based clustering under measurement inconsistency

JOURNAL ARTICLE published June 2020 in Advances in Data Analysis and Classification

Authors: Shuchismita Sarkar | Volodymyr Melnykov | Rong Zheng

Semi-supervised model-based clustering with positive and negative constraints

JOURNAL ARTICLE published September 2016 in Advances in Data Analysis and Classification

Authors: Volodymyr Melnykov | Igor Melnykov | Semhar Michael

A tail dependence-based dissimilarity measure for financial time series clustering

JOURNAL ARTICLE published December 2011 in Advances in Data Analysis and Classification

Authors: Giovanni De Luca | Paola Zuccolotto

Model-based clustering using a new multivariate skew distribution

JOURNAL ARTICLE published March 2024 in Advances in Data Analysis and Classification

Authors: Salvatore D. Tomarchio | Luca Bagnato | Antonio Punzo

Mutual information, phi-squared and model-based co-clustering for contingency tables

JOURNAL ARTICLE published September 2018 in Advances in Data Analysis and Classification

Authors: Gérard Govaert | Mohamed Nadif

Tag SNP selection based on clustering according to dominant sets found using replicator dynamics

JOURNAL ARTICLE published April 2010 in Advances in Data Analysis and Classification

Authors: Florian Frommlet

Spatial quantile clustering of climate data

JOURNAL ARTICLE published 22 February 2024 in Advances in Data Analysis and Classification

Authors: Carlo Gaetan | Paolo Girardi | Victor Muthama Musau

Co-clustering contaminated data: a robust model-based approach

JOURNAL ARTICLE published March 2024 in Advances in Data Analysis and Classification

Research funded by HORIZON EUROPE Non-nuclear direct actions of the Joint Research Centre (35332)

Authors: Edoardo Fibbi | Domenico Perrotta | Francesca Torti | Stefan Van Aelst | Tim Verdonck

Data clustering based on principal curves

JOURNAL ARTICLE published March 2020 in Advances in Data Analysis and Classification

Authors: Elson Claudio Correa Moraes | Danton Diego Ferreira | Giovani Bernardes Vitor | Bruno Henrique Groenner Barbosa

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

JOURNAL ARTICLE published June 2021 in Advances in Data Analysis and Classification

Research funded by Japan Society for the Promotion of Science (International Research Fellow program)

Authors: Kadri Umbleja | Manabu Ichino | Hiroyuki Yaguchi

Cluster-based sparse topical coding for topic mining and document clustering

JOURNAL ARTICLE published September 2018 in Advances in Data Analysis and Classification

Authors: Parvin Ahmadi | Iman Gholampour | Mahmoud Tabandeh