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pro vyhledávání: '"cluster validity index"'
Selecting the appropriate number of clusters is a critical step in applying clustering algorithms. To assist in this process, various cluster validity indices (CVIs) have been developed. These indices are designed to identify the optimal number of cl
Externí odkaz:
http://arxiv.org/abs/2402.02162
The optimal number of clusters is one of the main concerns when applying cluster analysis. Several cluster validity indexes have been introduced to address this problem. However, in some situations, there is more than one option that can be chosen as
Externí odkaz:
http://arxiv.org/abs/2308.14785
Akademický článek
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Publikováno v:
In Expert Systems With Applications 1 August 2023 223
Autor:
Wiroonsri, Nathakhun
Publikováno v:
Pattern Recognition, Volume 145, 109910, 2024
There are various cluster validity indices used for evaluating clustering results. One of the main objectives of using these indices is to seek the optimal unknown number of clusters. Some indices work well for clusters with different densities, size
Externí odkaz:
http://arxiv.org/abs/2109.11172
Autor:
Ko, Changwan1 (AUTHOR) kcw7536@gmail.com, Baek, Jaeseung2,3 (AUTHOR) jbaek@nmu.edu, Tavakkol, Behnam4 (AUTHOR) behnam.tavakkol@stockton.edu, Jeong, Young-Seon1,5 (AUTHOR) young.jeong@jnu.ac.kr
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 7, p3708. 14p.
In streaming data applications incoming samples are processed and discarded, therefore, intelligent decision-making is crucial for the performance of lifelong learning systems. In addition, the order in which samples arrive may heavily affect the per
Externí odkaz:
http://arxiv.org/abs/2108.07743
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101359- (2023)
We present CVIK, a Matlab-based toolbox for assisting the process of cluster analysis applications. This toolbox aims to implement 28 cluster validity indices (CVIs) for measuring clustering quality available to data scientists, researchers, and prac
Externí odkaz:
https://doaj.org/article/7884c1e0305d483fa10d7d81920a1894
Akademický článek
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