Performance analysis of data clustering algorithms using various effectiveness measures
Joint Authors
Murugasamy, Krishnamoorthi
Mathaiyan, Natarajan
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6B (31 Dec. 2016), pp.1084-1091, 8 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Data clustering is a method to group the data records that are similar to each other.
In recent days, researcher show significant attention towards the use of swarm based optimization algorithms to improve the performance of clustering process.
This Performance analysis concentrates on the effectiveness of five different algorithms with respect to various distances metrics to find the effective algorithm among them.
The algorithms used for comparison are K-means algorithm, Artificial Bee Colony (ABC) algorithm, Fuzzy C-Means (FCM) incorporated ABC (ABFCM) algorithm, K-means incorporated Artificial Bee Colony (ABK) algorithm and Bacterial Foraging Optimization Algorithm.
Among those algorithms, ABFCM and ABK algorithms are enhanced ABC algorithm in which the FCM and K-means operator are incorporated in the scout phase of the traditional ABC algorithm respectively.
In this paper, the performance of these algorithms are compared in terms of various distances metrics like dice coefficient, jaccard coefficient, beta index and distance index by varying the cluster sizes and number of iteration.
Finally, from the experimental results it proves that the proposed algorithms ABFCM and ABK outperforms better when compared with the existing algorithms.
American Psychological Association (APA)
Murugasamy, Krishnamoorthi& Mathaiyan, Natarajan. 2016. Performance analysis of data clustering algorithms using various effectiveness measures. The International Arab Journal of Information Technology،Vol. 13, no. 6B, pp.1084-1091.
https://search.emarefa.net/detail/BIM-688945
Modern Language Association (MLA)
Murugasamy, Krishnamoorthi& Mathaiyan, Natarajan. Performance analysis of data clustering algorithms using various effectiveness measures. The International Arab Journal of Information Technology Vol. 13, no. 6B (2016), pp.1084-1091.
https://search.emarefa.net/detail/BIM-688945
American Medical Association (AMA)
Murugasamy, Krishnamoorthi& Mathaiyan, Natarajan. Performance analysis of data clustering algorithms using various effectiveness measures. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6B, pp.1084-1091.
https://search.emarefa.net/detail/BIM-688945
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1090-1091
Record ID
BIM-688945