A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-10 Number-2 |
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| Year of Publication : 2014 | ||
| Authors : Dibya Jyoti Bora , Dr. Anil Kumar Gupta | ||
| DOI : 10.14445/22312803/IJCTT-V10P119 |
Dibya Jyoti Bora , Dr. Anil Kumar Gupta."A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm". International Journal of Computer Trends and Technology (IJCTT) V10(2):108-113, Apr 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster. Fuzzy C means is a very important clustering technique based on fuzzy logic. Also we have some hard clustering techniques available like K-means among the popular ones. In this paper a comparative study is done between Fuzzy clustering algorithm and hard clustering algorithm.
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Keywords
Clustering, FCM, K-Means, Matlab.