Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Fundamenta Informaticae. 172:361-377
We prove in this paper that the expected value of the objective function of the $k$-means++ algorithm for samples converges to population expected value. As $k$-means++, for samples, provides with constant factor approximation for $k$-means objective
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Knowledge and Information Systems. 62:1961-2009
The widely discussed and applied Johnson–Lindenstrauss (JL) Lemma has an existential form saying that for each set of data points Q in n-dimensional space, there exists a transformation f into an $$n'$$n′-dimensional space ($$n'n′
Publikováno v:
CEC
In this paper we make a comparison of two NMF based techniques of dataset characterization: clustering and hulling. The characteristics of a dataset should be understood as describing the content of a data set through several characteristic represent
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Fundamenta Informaticae. 168:25-43
Publikováno v:
Intelligent Systems in Industrial Applications ISBN: 9783030671471
ISMIS (Industrial Paper)
ISMIS (Industrial Paper)
It is a known phenomenon that text document classifiers may benefit from inclusion of hypernyms of the terms in the document. However, this inclusion may be a mixed blessing because it may fuzzify the boundaries between document classes [5, 6, 10].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e6b6677fe5afd03e7a271167759ee6
https://doi.org/10.1007/978-3-030-67148-8_6
https://doi.org/10.1007/978-3-030-67148-8_6
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: 9783030615338
ICAISC (2)
ICAISC (2)
The quality of search engine service relies on its capability to rank the webpages related to the user query in order of their intrinsic value. PageRank constituted a break-through as a method of webpage evaluation and was in use since then for multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0e91e4d5422c961ae2b4fbfb9aac109
https://doi.org/10.1007/978-3-030-61534-5_12
https://doi.org/10.1007/978-3-030-61534-5_12
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783030476786
CISIM
CISIM
The paper investigates several notions of graph Laplacians and graph kernels from the perspective of understanding the graph clustering via the graph embedding into an Euclidean space. We propose hereby a unified view of spectral graph clustering and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b23f7745ad3297ef01437caa3f0e520
https://doi.org/10.1007/978-3-030-47679-3_40
https://doi.org/10.1007/978-3-030-47679-3_40
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:
Artificial Intelligence and Soft Computing ISBN: 9783030615338
ICAISC (2)
ICAISC (2)
The paper studies the major reason for the contradictions in the Kleinberg’s axiomatic system for clustering [9]. We found that the so-called consistency axiom is the single source of problems because it creates new clusters instead of preserving t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9eea4edea6cfeeb2ebe0bb7c4fde44
https://doi.org/10.1007/978-3-030-61534-5_18
https://doi.org/10.1007/978-3-030-61534-5_18