Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Evolutionary clustering"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2023, Vol. 17, Issue 1, pp. 143-160.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-07-2023-0188
Publikováno v:
PeerJ Computer Science, Vol 10, p e2185 (2024)
As one of the essential topological structures in complex networks, community structure has significant theoretical and application value and has attracted the attention of researchers in many fields. In a social network, individuals may belong to di
Externí odkaz:
https://doaj.org/article/130ed2dee32c4a6997c63734fb8a9c5a
Publikováno v:
Autonomous Intelligent Systems, Vol 3, Iss 1, Pp 1-16 (2023)
Abstract Because the number of clustering cores needs to be set before implementing the K-means algorithm, this type of algorithm often fails in applications with increasing data and changing distribution characteristics. This paper proposes an evolu
Externí odkaz:
https://doaj.org/article/8426c5ae979b4d10870e1a37dcebe52c
Publikováno v:
PeerJ Computer Science, Vol 9, p e1477 (2023)
The goal of dynamic community discovery is to quickly and accurately mine the network structure for individuals with similar attributes for classification. Correct classification can effectively help us screen out more desired results, and it also re
Externí odkaz:
https://doaj.org/article/99b5bdb8fb074102a4025537f3af5c2a
Publikováno v:
IEEE Access, Vol 10, Pp 43914-43933 (2022)
In the last decade, community detection in dynamic networks has received increasing attention, because it can not only uncover the community structure of the network at any time but also reveal the regularity of dynamic networks evolution. Although m
Externí odkaz:
https://doaj.org/article/d25907c1eec344f19f4e4002a74b3272
Akademický článek
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Autor:
Zihao Zhao, Wenjun Xu, Aiwen Chen, Yueyue Han, Shengrong Xia, ChuLei Xiang, Chao Wang, Jun Jiao, Hui Wang, Xiaohui Yuan, Lichuan Gu
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background The study of protein complexes and protein functional modules has become an important method to further understand the mechanism and organization of life activities. The clustering algorithms used to analyze the information contai
Externí odkaz:
https://doaj.org/article/8bf41fd5487d498eba8667bd0a68a913
Autor:
Benjamin M. Sainz-Tinajero, Andres E. Gutierrez-Rodriguez, Hector G. Ceballos, Francisco J. Cantu-Ortiz
Publikováno v:
IEEE Access, Vol 9, Pp 134192-134207 (2021)
Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias
Externí odkaz:
https://doaj.org/article/13a0f1c0f9214d4e88d36043f4dc3bb0
Yes
In dealing with big data, we need effective algorithms; effectiveness that depends, among others, on the ability to remove outliers from the data set, especially when dealing with classification problems. To this aim, support vector finder a
In dealing with big data, we need effective algorithms; effectiveness that depends, among others, on the ability to remove outliers from the data set, especially when dealing with classification problems. To this aim, support vector finder a
Externí odkaz:
http://hdl.handle.net/10454/17671
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100084- (2021)
The prominent rise of social networks within the past decade have become a gold mine for data mining operations seeking to model the real world through these virtual worlds. One of the most important applications that has been proposed is utilizing i
Externí odkaz:
https://doaj.org/article/c2da37745e9b40a586ec881f07bf828b