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Advances in Data Analysis and Classification
Published in: Advances in Data Analysis and Classification 1/2013

01-03-2013 | Editorial

Editorial

Published in: Advances in Data Analysis and Classification | Issue 1/2013

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This first issue of volume 7 (2013) of the Journal Advances in Data Analysis and Classification (ADAC) comprises five articles which deal with mixtures of factor analyzers, Cohen’s weighted kappa, functional fuzzy clusterwise regression, fuzzy random walks, and classification methods for MRI data. The proposed methods are usually illustrated by real-case or simulated examples. …
next article Clustering and classification via cluster-weighted factor analyzers

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Metadata
Title
Editorial
Publication date
01-03-2013
Publisher
Springer-Verlag
Published in
Advances in Data Analysis and Classification / Issue 1/2013
Print ISSN: 1862-5347
Electronic ISSN: 1862-5355
DOI
https://doi.org/10.1007/s11634-013-0128-4

Other articles of this Issue 1/2013

Advances in Data Analysis and Classification 1/2013 Go to the issue

Regular Article

Clustering and classification via cluster-weighted factor analyzers

Regular Article

Functional fuzzy clusterwise regression analysis

Regular Article

Regularized logistic discrimination with basis expansions for the early detection of Alzheimer’s disease based on three-dimensional MRI data

Regular Article

Cohen’s weighted kappa with additive weights

Regular Article

Random walk distances in data clustering and applications

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