Zobrazeno 1 - 10 of 36 pro vyhledávání: '"László Aszalós"'
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Akademický článek
Decompose Boolean Matrices with Correlation Clustering
Autor: László Aszalós
Publikováno v: Entropy, Vol 23, Iss 7, p 852 (2021)
One of the tasks of data science is the decomposition of large matrices in order to understand their structures. A special case of this is when we decompose relations, i.e., logical matrices. In this paper, we present a method based on the similarity
Externí odkaz: https://doaj.org/article/1e356b9f4413443799c94a3a6ba7da1b
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2
Akademický článek
Correlation clustering: divide and conquer
Autor: László Aszalós, Mária Bakó
Publikováno v: Annals of computer science and information systems, Vol 9, Pp 73-78 (2016)
Externí odkaz: https://doaj.org/article/d3d54bcf1b08429c993b638b2332aa56
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3
Graph approximation on similarity based rough sets
Autor: Tamás Mihálydeák, Dávid Nagy, László Aszalós
Publikováno v: Pollack Periodica. 15:25-36
Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to one another and different from objects from other groups. In the authors previous works the possible usage of correlation i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::578b35ecf5e94d2725b59ec9b6e5b156
https://doi.org/10.1556/606.2020.15.2.3
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6
Different Types of Search Algorithms for Rough Sets
Autor: Tamás Mihálydeák, Dávid Nagy, László Aszalós
Publikováno v: Acta Cybernetica. 24:105-120
Based on the available information in many cases it can happen that two objects cannot be distinguished. If a set of data is given and in this settwo objects have the same attribute values, then these two objects are called indiscernible. This indisc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f53fc37a17dfa4882a820300c9bc90f
https://doi.org/10.14232/actacyb.24.1.2019.8
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7
Finding the representative in a cluster using correlation clustering
Autor: László Aszalós, Tamás Mihálydeák, Dávid Nagy
Publikováno v: Pollack Periodica. 14:15-24
Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to each other and different from objects from other groups. It can be an interesting task to find the member, which is the mos
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba778070b446f6e2f3bbfda9bf37d897
https://doi.org/10.1556/606.2019.14.1.2
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