Advances in Data Analysis and Classification
2008 - 2009
Edited by H.-H. Bock, W. Gaul, A. Okada and M. Vichi
from Springer
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Volume 3, issue 2, 2009
- 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
Volume 3, issue 1, 2009
- 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
Volume 2, issue 3, 2008
- 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