Advances in Data Analysis and Classification

2008 - 2009

Edited by H.-H. Bock, W. Gaul, A. Okada and M. Vichi

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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 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 Le Thi, Hoai Le, Van Nguyen 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