The present issue 2 of volume 11 (2017) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: compositional and histogram-valued data, clustering for regression-type and functional data, a mixture model for ordinal variables, logistic biplots for nominal data, classification trees, ADCLUS and INDCLUS, missing data imputation, data processing methods.
Editorial for issue 2/2017 / Vichi, M; Bock, Hh; Gaul, W; Okada, A. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 11:2(2017), pp. 219-222. [10.1007/s11634-017-0288-8]
Editorial for issue 2/2017
Vichi, M
;
2017
Abstract
The present issue 2 of volume 11 (2017) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: compositional and histogram-valued data, clustering for regression-type and functional data, a mixture model for ordinal variables, logistic biplots for nominal data, classification trees, ADCLUS and INDCLUS, missing data imputation, data processing methods.File allegati a questo prodotto
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