This second issue of volume 7 (2013) of the journal Advances in Data Analysis and Classification (ADAC) comprises articles which deal with a clustering method that proceeds by iteratively modifying binary trees, with spectral methods for fuzzy clustering of similarity data, and with ensemble clustering that uses locally weighted adaptive algorithms tuned by learning methods and cluster selection procedures. A final paper is devoted to isotonic regression, i.e., regression under order restrictions. The proposed methods are illustrated by real-case or simulated examples.
Editorial Issue 2/2013 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 7:2(2013), pp. 121-123. [10.1007/s11634-013-0138-2]
Editorial Issue 2/2013
Vichi, M
;
2013
Abstract
This second issue of volume 7 (2013) of the journal Advances in Data Analysis and Classification (ADAC) comprises articles which deal with a clustering method that proceeds by iteratively modifying binary trees, with spectral methods for fuzzy clustering of similarity data, and with ensemble clustering that uses locally weighted adaptive algorithms tuned by learning methods and cluster selection procedures. A final paper is devoted to isotonic regression, i.e., regression under order restrictions. The proposed methods are illustrated by real-case or simulated examples.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
