The current issue 3 of volume 5 (2011) of the journal Advances in Data Analysis and Classification (ADAC) comprises four articles which deal with topics related to missing values in principal component analysis, consensus methods for partitioning, dimension reduction in classification, and rescaling of similarity measures. Proposed methods are typically illustrated by real-case or simulated examples.

ADAC Editorial Issue 3 2011 / Bock, Hh; Gaul, W; Okada, A; Vichi, M. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 5:3(2011), pp. 177-178. [10.1007/s11634-011-0093-8]

ADAC Editorial Issue 3 2011

Vichi, M
2011

Abstract

The current issue 3 of volume 5 (2011) of the journal Advances in Data Analysis and Classification (ADAC) comprises four articles which deal with topics related to missing values in principal component analysis, consensus methods for partitioning, dimension reduction in classification, and rescaling of similarity measures. Proposed methods are typically illustrated by real-case or simulated examples.
2011
Classification, Clustering, Data Analysis
01 Pubblicazione su rivista::01m Editorial/Introduzione in rivista
ADAC Editorial Issue 3 2011 / Bock, Hh; Gaul, W; Okada, A; Vichi, M. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 5:3(2011), pp. 177-178. [10.1007/s11634-011-0093-8]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1670656
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