Experiments on Hypothesis "Fuzzy K-Means is Better than K-Means for Clustering"

Srinivas Sivarathri; Govardhan A

Journal ArticleOPEN ACCESS

Experiments on Hypothesis "Fuzzy K-Means is Better than K-Means for Clustering"

Sivarathri S
A G

International Journal of Data Mining & Knowledge Management Process (2014) 4(5) 21-34

DOI: 10.5121/ijdkp.2014.4502

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Abstract

… The K-Means clustering is also known as hard clustering … The convergence with respect to experimental results of this approach is satisfactory [4]. Fuzzy K- Means clustering algorithm can be used for getting what we want from the Internet …

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APA

Sivarathri, S., & A, G. (2014). Experiments on Hypothesis “Fuzzy K-Means is Better than K-Means for Clustering.” International Journal of Data Mining & Knowledge Management Process, 4(5), 21–34. https://doi.org/10.5121/ijdkp.2014.4502

Experiments on Hypothesis "Fuzzy K-Means is Better than K-Means for Clustering"

Abstract

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