Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
Publikováno v:
Studies in Big Data ISBN: 9783319693071
This chapter is devoted to actions to be performed in order to get maximum insights into the data by application of clustering algorithms. For data preprocessing stage, methods for choosing the appropriate set of features and algorithms for selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2431bc11d18deb581785cd9bf9333c77
https://doi.org/10.1007/978-3-319-69308-8_4
https://doi.org/10.1007/978-3-319-69308-8_4
Autor:
Mieczyslaw A. Klopotek
This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a "complement" of Rand Index as a measure of cluster similarity, the total-separation par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::772c2207d9b005d2228d704215629928
Publikováno v:
ENIC
We propose a new version of an algorithm based on Dirichlet boundary for community detection under the assumption of partially pre-labelled community members. We present a complete mathematical derivation of this method from the continuous Dirichlet
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319083254
ISMIS
ISMIS
We present a novel algorithm of document categorization, assigning multiple labels out of a large set of hierarchically arranged (but not necessarily tree-like) set of possible categories. It extends our Wikipedia-based method presented in [1] via un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feb4e8088f58dc556ed382ab32b09f0
https://doi.org/10.1007/978-3-319-08326-1_34
https://doi.org/10.1007/978-3-319-08326-1_34
Autor:
Dariusz Czerski, Krzysztof Ciesielski, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Michał Dramiński
Publikováno v:
Language Processing and Intelligent Information Systems ISBN: 9783642386336
IIS
IIS
This paper proposes a calculus for computing personalized PageRank for complex categories given a precomputed set of primitive categories. This is a work in progress aiming at reduction of the necessary number of precomputed PageRanks for a set of (n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94585ec68e3f995c82a9cb4eb7f8c5d
https://doi.org/10.1007/978-3-642-38634-3_24
https://doi.org/10.1007/978-3-642-38634-3_24
Autor:
Krzysztof Ciesielski, Michał Dramiński, Slawomir T. Wierzchon, Mieczyslaw A. Klopotek, Dariusz Czerski
Publikováno v:
Advances in Soft Computing ISBN: 9783540335207
Intelligent Information Systems
Intelligent Information Systems
As document map creation algorithms like WebSOM are computation- ally expensive, and hardly reconstructible even from the same set of documents, new methodology is urgently needed to allow to construct document maps to han- dle streams of new documen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b83bc9c3bcfac5a700972677505cd161
https://doi.org/10.1007/3-540-33521-8_11
https://doi.org/10.1007/3-540-33521-8_11