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Advances in Data Analysis and Classification

Content (10 Articles)

Editorial

Hans-Hermann Bock

Regular Article

Parsimonious cluster systems

François Brucker, Alain Gély

Regular Article

Aggregation invariance in general clustering approaches

François Bavaud

Regular Article

Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables

Véronique Cariou, Stéphane Verdun, Emmanuelle Diaz, El Mostafa Qannari, Evelyne Vigneau

Regular Article

Temporally adaptive estimation of logistic classifiers on data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Regular Article

New robust dynamic plots for regression mixture detection

Domenico Perrotta, Marco Riani, Francesca Torti

Regular Article

The value of the last digit: statistical fraud detection with digit analysis

Stephan Dlugosz, Ulrich Müller-Funk

Regular Article

On critical sets of a finite Moore family

Jean Diatta

Regular Article

Metrics of L p -type and distributional equivalence principle

Bernard Fichet

Open Access Regular Article

Tests of ignoring and eliminating in nonsymmetric correspondence analysis

Yoshio Takane, Sunho Jung

Current Publications

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

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Springer Professional

Advances in Data Analysis and Classification

Issue 3/2009

Content (10 Articles)

Editorial

Parsimonious cluster systems

Aggregation invariance in general clustering approaches

Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables

Temporally adaptive estimation of logistic classifiers on data streams

New robust dynamic plots for regression mixture detection

The value of the last digit: statistical fraud detection with digit analysis

On critical sets of a finite Moore family

Metrics of L p -type and distributional equivalence principle

Tests of ignoring and eliminating in nonsymmetric correspondence analysis

Current Publications

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

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