Advances in Data Analysis and Classification

2008 - 2026

Current editor(s): H.-H. Bock, W. Gaul, A. Okada, M. Vichi and C. Weihs

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Editorial pp. 221-222: Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada and Maurizio Vichi
A general approach to handling missing values in Procrustes analysis pp. 223-237: Casper Albers and John Gower
Robust classification for skewed data pp. 239-254: Mia Hubert and Stephan Van der Veeken
Fuzzy clusterwise quasi-likelihood generalized linear models pp. 255-270: Heungsun Hwang and Marc Tomiuk
Inequalities between multi-rater kappas pp. 271-286: Matthijs Warrens
Detecting atypical observations in financial data: the forward search for elliptical copulas pp. 287-299: Tiziano Bellini
Outlier detection and robust covariance estimation using mathematical programming pp. 301-334: Tri-Dzung Nguyen and Roy Welsch

Special Issue on Robust Methods for Classification and Data Analysis pp. 85-87: Marco Riani, Andrea Cerioli and Peter Rousseeuw
A review of robust clustering methods pp. 89-109: Luis García-Escudero, Alfonso Gordaliza, Carlos Matrán and Agustín Mayo-Iscar
A simulation study to compare robust clustering methods based on mixtures pp. 111-135: Pietro Coretto and Christian Hennig
The k-step spatial sign covariance matrix pp. 137-150: C. Croux, Catherine Dehon and A. Yadine
Robust kernel principal component analysis and classification pp. 151-167: Michiel Debruyne and Tim Verdonck
Optimal robust estimates using the Hellinger distance pp. 169-179: Alfio Marazzi and Victor Yohai
Inference for robust canonical variate analysis pp. 181-197: Stefan Van Aelst and Gert Willems
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions pp. 199-220: Arnout Van Messem and Andreas Christmann

Editorial pp. 1-2: Hans-Hermann Bock
Methods for merging Gaussian mixture components pp. 3-34: Christian Hennig
Regularized fuzzy clusterwise ridge regression pp. 35-51: Hye Suk and Heungsun Hwang
Comparing partitions of two sets of units based on the same variables pp. 53-64: Genane Youness and Gilbert Saporta
Tag SNP selection based on clustering according to dominant sets found using replicator dynamics pp. 65-83: Florian Frommlet

Editorial pp. 185-187: Hans-Hermann Bock
Parsimonious cluster systems pp. 189-204: François Brucker and Alain Gély
Aggregation invariance in general clustering approaches pp. 205-225: François Bavaud
Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables pp. 227-241: Véronique Cariou, Stéphane Verdun, Emmanuelle Diaz, El Qannari and Evelyne Vigneau
Temporally adaptive estimation of logistic classifiers on data streams pp. 243-261: Christoforos Anagnostopoulos, Dimitris Tasoulis, Niall Adams and David Hand
New robust dynamic plots for regression mixture detection pp. 263-279: Domenico Perrotta, Marco Riani and Francesca Torti
The value of the last digit: statistical fraud detection with digit analysis pp. 281-290: Stephan Dlugosz and Ulrich Müller-Funk
On critical sets of a finite Moore family pp. 291-304: Jean Diatta
Metrics of L p -type and distributional equivalence principle pp. 305-314: Bernard Fichet
Tests of ignoring and eliminating in nonsymmetric correspondence analysis pp. 315-340: Yoshio Takane and Sunho Jung

Editorial pp. 93-94: Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada and Maurizio Vichi
Comparison of alignment free string distances for complete genome phylogeny pp. 95-108: Frédéric Guyon, Céline Brochier-Armanet and Alain Guénoche
Variable selection in model-based clustering using multilocus genotype data pp. 109-134: Wilson Toussile and Elisabeth Gassiat
Trimming algorithms for clustering contaminated grouped data and their robustness pp. 135-167: María Gallegos and Gunter Ritter
On Robinsonian dissimilarities, the consecutive ones property and latent variable models pp. 169-184: Matthijs Warrens

Editorial pp. 1-2: Hans-Hermann Bock
Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy pp. 3-24: Jukka Corander, Mats Gyllenberg and Timo Koski
Where are the large and difficult datasets? pp. 25-38: Adrien Jamain and David Hand
Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach pp. 39-61: Marc Boullé
An update algorithm for restricted random walk clustering for dynamic data sets pp. 63-92: Markus Franke and Andreas Geyer-Schulz

Preface of the ADAC editors pp. 207-208: Hans-Hermann Bock, Wolfgang Gaul, Maurizio Vichi and Akinori Okada
Preface for the special issue of ADAC on ‘Optimisation and Non-Convex Programming in Data Mining’ pp. 209-210: Hoai An Le Thi, Tao Pham Dinh and Gunter Ritter
Multi-objective optimization for clustering 3-way gene expression data pp. 211-225: Doulaye Dembélé
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves pp. 227-239: Jean-Philippe Tarel, Sio-Song Ieng and Pierre Charbonnier
About the non-convex optimization problem induced by non-positive semidefinite kernel learning pp. 241-258: Ingo Mierswa and Katharina Morik
A DC programming approach for feature selection in support vector machines learning pp. 259-278: Hoai An Le Thi, Hoai Le, Nguyen Van and Tao Pham Dinh
Transfer distance between partitions pp. 279-294: Lucile Denœud
Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories pp. 295-311: Kouji Tahata and Sadao Tomizawa