• Jan 04, 2024 News!IJFCC will adopt Article-by-Article Work Flow
  • Jun 03, 2024 News!Vol.13, No.2 has been published with online version.   [Click]
  • Dec 05, 2023 News!Vol.12, No.4 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3751 (Print)
    • Frequency: Quarterly
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Pascal Lorenz
    • Executive Editor: Ms. Yoyo Y. Zhou
    • Abstracting/ Indexing: Crossref, Electronic Journals LibraryINSPEC(IET), Google Scholar, EBSCO, etc.
    • E-mail:  ijfcc@ejournal.net 
    • Article Processing Charge: 500 USD
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2024 Vol.13(1): 6-12
DOI: 10.18178/ijfcc.2024.13.1.611

Clutching of Clustering Validation Criteria

Urvashi Soni *and Sunita Dwivedi
Computer Department, Makhanlal Chaturvedi National University of Journalism and Communication, India
Email: urvashikushsoni2016@gmail.co (U.S.); ddwivedi2001@gmail.com (S.D.)
*Corresponding author

Manuscript received December 12, 2023; revised January 12, 2024; accepted January 30, 2024; published February 29, 2024

Abstract—The success of clustering depends critically on a number of key concerns, one of which is clustering validation. In general, there are three types of clustering validation criteria: relative clustering validation, internal clustering validation, and external clustering validation. This paper focuses on the clustering validation criteria and provides a thorough analysis of the most popular clustering validation for crisp clustering. We investigate the validation properties over the five conventional clustering. According to experiment results, Silhouette is the validation measure that performs well in all five areas whereas other measures have some limits in various application.

Keywords—voting, consensus clustering, ensemble generation, co-occurrence matrices

[PDF]

Cite: Urvashi Soni and Sunita Dwivedi, "Clutching of Clustering Validation Criteria," International Journal of Future Computer and Communication, vol. 13, no. 1, pp. 6-12, 2024.


Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)

Copyright © 2008-2024. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net