nach oben

Advances in Data Analysis and Classification

Inhalt (9 Artikel)

Editorial

Editorial for ADAC issue 1 of volume 16 (2022)

Salvatore Ingrassia, Julien Jacques, Weixin Yao

Regular Article

Model-based clustering and outlier detection with missing data

Hung Tong, Cristina Tortora

Regular Article

Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets

Robin Fuchs, Denys Pommeret, Cinzia Viroli

Open Access Regular Article

Unobserved classes and extra variables in high-dimensional discriminant analysis

Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy

Regular Article

Multivariate cluster weighted models using skewed distributions

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

Regular Article

Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter

Mingxing He, Jiahua Chen

Open Access Regular Article

Robust optimal classification trees under noisy labels

Victor Blanco, Alberto Japón, Justo Puerto

Open Access Regular Article

Robust clustering of functional directional data

Pedro C. Álvarez-Esteban, Luis A. García-Escudero

Regular Article

An empirical comparison and characterisation of nine popular clustering methods

Christian Hennig

Models and Learning for Clustering and Classification

Aktuelle Ausgaben

Advances in Data Analysis and Classification 1/2024
Advances in Data Analysis and Classification 4/2023
Advances in Data Analysis and Classification 3/2023
Advances in Data Analysis and Classification 2/2023
Advances in Data Analysis and Classification 1/2023
Advances in Data Analysis and Classification 4/2022
Advances in Data Analysis and Classification 3/2022
Advances in Data Analysis and Classification 2/2022
Models and Learning for Clustering and Classification
Advances in Data Analysis and Classification 1/2022
Special Issue on "Models and Learning for Clustering and Classification"
Advances in Data Analysis and Classification 4/2021

Scrollen für mehr

Benutzen Sie die Pfeiltasten für mehr

Scrollen oder Pfeiltasten für mehr

Springer Professional

Advances in Data Analysis and Classification

Ausgabe 1/2022

Special Issue on "Models and Learning for Clustering and Classification"

Inhalt (9 Artikel)

Editorial for ADAC issue 1 of volume 16 (2022)

Model-based clustering and outlier detection with missing data

Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets

Unobserved classes and extra variables in high-dimensional discriminant analysis

Multivariate cluster weighted models using skewed distributions

Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter

Robust optimal classification trees under noisy labels

Robust clustering of functional directional data

An empirical comparison and characterisation of nine popular clustering methods

Aktuelle Ausgaben

Advances in Data Analysis and Classification 1/2024

Advances in Data Analysis and Classification 4/2023

Advances in Data Analysis and Classification 3/2023

Advances in Data Analysis and Classification 2/2023

Advances in Data Analysis and Classification 1/2023

Advances in Data Analysis and Classification 4/2022

Advances in Data Analysis and Classification 3/2022

Models and Learning for Clustering and Classification

Special Issue on "Models and Learning for Clustering and Classification"

Advances in Data Analysis and Classification 4/2021

Premium Partner