An Optimal and Stable Algorithm for Clustering Numerical Data

In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and different clustering results may be obtained for every run. In real-world applications,...

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Bibliographic Details

Published in:	Algorithms Vol. 14; no. 7; p. 197
Main Authors:	Seman, Ali, Mohd Sapawi, Azizian
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2021
Subjects:	Algorithms categorical clustering Cluster analysis Clustering Datasets fuzzy clustering Heuristic Methods numerical clustering Optimization partitional clustering algorithm Stability
ISSN:	1999-4893, 1999-4893
Online Access:	Get full text
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