Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jacek Koronacki"'
Publikováno v:
Information Sciences. 330:74-87
Dimensionality reduction that preserves certain characteristics of data is needed for numerous reasons. In this work we focus on data coming from a mixture of Gaussian distributions and we propose a method that preserves the distinctness of the clust
Autor:
Jan Komorowski, Jakub Mieczkowski, Marcin Kruczyk, Nicholas Baltzer, Michał Dramiński, Jacek Koronacki
Publikováno v:
Fundamenta Informaticae. 127:273-288
An important step prior to constructing a classifier for a very large data set is feature selection. With many problems it is possible to find a subset of attributes that have the same discriminative power as the full data set. There are many feature
Publikováno v:
Future Generation Computer Systems. 17:387-396
In this paper, a new approach to scheduling of parallel and distributed algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose, agents — local de
Publikováno v:
Principles of Data Mining and Knowledge Discovery ISBN: 9783540664901
PKDD
PKDD
Unsupervised classification of objects involves formation of classes and construction of one or more taxonomies that include those classes. Meaningful classes can be formed in feedback with acquisition of knowledge about each class. We demonstrate ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a23a08801ab43419b7aa30f25ea0b35d
https://doi.org/10.1007/978-3-540-48247-5_8
https://doi.org/10.1007/978-3-540-48247-5_8