International Journal of Computer
Trends and Technology

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Volume 10 | Number 1 | Year 2014 | Article Id. IJCTT-V10P119 | DOI : https://doi.org/10.14445/22312803/IJCTT-V10P119

A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm

Dibya Jyoti Bora , Dr. Anil Kumar Gupta

Citation :

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), vol. 10, no. 1, pp. 108-118, 2014. Crossref, https://doi.org/10.14445/22312803/IJCTT-V10P119

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.

Keywords

Clustering, FCM, K-Means, Matlab.

References

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