The present issue 3 of volume 11 (2017) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: robust classifiers for multivariate and functional data, constrained clustering, fuzzy neural clustering network, density based trajectory clustering, flower pollination search algorithm, algorithm to identify the prior probabilities for classification problem and general location model.
Editorial for issue 3/2017 / Vichi, M; Bock, Hh; Gaul, W; Okada, A; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 11:3(2017), pp. 441-444. [10.1007/s11634-017-0291-0]
Editorial for issue 3/2017
Vichi, M
;
2017
Abstract
The present issue 3 of volume 11 (2017) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: robust classifiers for multivariate and functional data, constrained clustering, fuzzy neural clustering network, density based trajectory clustering, flower pollination search algorithm, algorithm to identify the prior probabilities for classification problem and general location model.File allegati a questo prodotto
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