Zobrazeno 1 - 10
of 527
pro vyhledávání: '"cluster validity index"'
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 67 (2024)
Abstract Clustering algorithms play a crucial role in identifying co-expressed genes in microarray data, while feature subset identification is equally important when dealing with large data matrices. In this research paper, we address the problem of
Externí odkaz:
https://doaj.org/article/4396cfb24ace473a878eaf3b3889c984
Publikováno v:
IEEE Access, Vol 12, Pp 43139-43154 (2024)
Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means and density-based spatial clustering of applications with n
Externí odkaz:
https://doaj.org/article/bd34914d81164fd4850817be64d4e411
Publikováno v:
IEEE Access, Vol 12, Pp 11114-11124 (2024)
Understanding the performance and validity of clustering algorithms is both challenging and crucial, particularly when clustering must be done online. Until recently, most validation methods have relied on batch calculation and have required consider
Externí odkaz:
https://doaj.org/article/b23e515d2b2a40ff84500c0069015d96
Publikováno v:
Electronic Research Archive, Vol 31, Iss 11, Pp 7078-7103 (2023)
In cluster analysis, determining the number of clusters is an important issue because there is less information about the most appropriate number of clusters in the real problem. Automatic clustering is a clustering method that automatically finds th
Externí odkaz:
https://doaj.org/article/0f6ea0ea281c43f3a280f2b2a221d702
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
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 10, Iss 3, Pp 321-332 (2022)
Spatio-temporal (ST) clustering is a relatively new field in data mining with great popularity, especially in geographic information. Moving objects are a type of ST data where the available information on these objects includes their last position.
Externí odkaz:
https://doaj.org/article/fd65eb8d910e4e49b70abb9a05e43c2b
Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space
Publikováno v:
Sensors, Vol 23, Iss 7, p 3708 (2023)
Cluster validity indices (CVIs) for evaluating the result of the optimal number of clusters are critical measures in clustering problems. Most CVIs are designed for typical data-type objects called certain data objects. Certain data objects only have
Externí odkaz:
https://doaj.org/article/007f7114db374e4aac100f1cbb59de0e
Autor:
Doi Thi Lan, Seokhoon Yoon
Publikováno v:
Sensors, Vol 23, Iss 6, p 3318 (2023)
Human movement anomalies in indoor spaces commonly involve urgent situations, such as security threats, accidents, and fires. This paper proposes a two-phase framework for detecting indoor human trajectory anomalies based on density-based spatial clu
Externí odkaz:
https://doaj.org/article/2c07c8e3e7af42d893a6b83e0c0d281e
Publikováno v:
IEEE Access, Vol 8, Pp 22025-22047 (2020)
Validation is one of the most important aspects of clustering, particularly when the user is designing a trustworthy or explainable system. However, most clustering validation approaches require batch calculation. This is an important gap because of
Externí odkaz:
https://doaj.org/article/379629c29b0240cab23de0153efdbbdf
Publikováno v:
IEEE Access, Vol 8, Pp 24170-24181 (2020)
Cluster validity index plays an important role in assessing the quality of clustering results. However, most of the existing validity indices take a trial-and-error strategy, and their correctness depend on not only the measurements of intra- and int
Externí odkaz:
https://doaj.org/article/82dcf4e4c7754adfaeb771b2703b149c