Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030594909
ISMIS
ISMIS
Kleinberg introduced an axiomatic system for clustering functions. Out of three axioms, he proposed two (scale invariance and consistency) are concerned with data transformations that should produce the same clustering under the same clustering funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a275608e85a6f5d9ea574dc97de942b
https://doi.org/10.1007/978-3-030-59491-6_33
https://doi.org/10.1007/978-3-030-59491-6_33
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
We propose a new document classification method, bridging discrepancies (so-called semantic gap) between the training set and the application sets of textual data. We demonstrate its superiority over classical text classification approaches, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c83344dfb1c1fb82f67c00359a4ece
https://doi.org/10.1007/978-3-030-61401-0_61
https://doi.org/10.1007/978-3-030-61401-0_61
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030352301
ADMA
ADMA
In a former paper [10] we simplified the proof of a theorem on personalized random walk that is fundamental to graph nodes clustering and generalized it to bipartite graphs for a specific case where the probability of random jump was proportional to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b7524ec08a04c1876c5fe5922ae6f9d
https://doi.org/10.1007/978-3-030-35231-8_17
https://doi.org/10.1007/978-3-030-35231-8_17
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030375980
LOD
LOD
With Kleinberg’s axiomatic system for clustering, a discussion has been initiated, what kind of properties clustering algorithms should have and have not. As Ackerman et al. pointed out, the static properties studied by Kleinberg and other are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b312a5fbc4e7686c88594906cbb8a96
https://doi.org/10.1007/978-3-030-37599-7_22
https://doi.org/10.1007/978-3-030-37599-7_22
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:
Annals of computer science and information systems, Vol 8, Pp 533-540 (2016)
FedCSIS
FedCSIS
Pattern-based methods of IS-A relation extraction rely heavily on so called Hearst patterns. These are ways of expressing instance enumerations of a class in natural language. While these lexico-syntactic patterns prove quite useful, they may not cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92e2ebf3c218e29cb28b9af10a9d5c57
http://arxiv.org/abs/1605.02916
http://arxiv.org/abs/1605.02916