A comparison between the fuzzy C-means clustering algorithm and the K-mean clustering algorithm
Pratik Singh Thakur, Rohit Kumar Verma, Rakesh Tiwari
Abstract
This paper provides brief information about the K-means clustering algorithm and the Fuzzy C-means clustering algorithm. We have defined mathematical expressions for K-means and FCM and have applied the algorithms to a dummy dataset, comparing their differences for various numbers of clusters.
Full Text:
PDF
Published: 2024-01-15
How to Cite this Article:
Pratik Singh Thakur, Rohit Kumar Verma, Rakesh Tiwari, A comparison between the fuzzy C-means clustering algorithm and the K-mean clustering algorithm,
Eng. Math. Lett., 2024 (2024), Article ID 1
Copyright © 2024 Pratik Singh Thakur, Rohit Kumar Verma, Rakesh Tiwari. 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.
Engineering Mathematics Letters
ISSN 2049-9337
Editorial Office: [email protected]
Copyright ©2024 SCIK Publishing Corporation