This issue 4 of volume 16 (2022) of the journal Advances in Data Analysis and Classification (ADAC) contains 9 articles that deal with artificial intelligence and statistics, classification methods, dissimilarity functions, quantile composite-based path modeling, sparse dimension reduction, the minimum weighted covariance determinant estimator, least-squares bilinear clustering, polynomial approximate discretization of geometric centers, and independence versus indetermination. At the end of the issue, we also publish the “corrections” of three papers received by their authors.
Editorial for ADAC issue 4 of volume 16 (2022) / Vichi, M.; Ceroli, A.; Kestler, H. A.; Okada, A.; Weihs, C.. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5355. - 16:4(2022), pp. 817-821. [10.1007/s11634-022-00525-3]
Editorial for ADAC issue 4 of volume 16 (2022)
Vichi M.
;
2022
Abstract
This issue 4 of volume 16 (2022) of the journal Advances in Data Analysis and Classification (ADAC) contains 9 articles that deal with artificial intelligence and statistics, classification methods, dissimilarity functions, quantile composite-based path modeling, sparse dimension reduction, the minimum weighted covariance determinant estimator, least-squares bilinear clustering, polynomial approximate discretization of geometric centers, and independence versus indetermination. At the end of the issue, we also publish the “corrections” of three papers received by their authors.File | Dimensione | Formato | |
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