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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



An Efficient Clustering Technique for Cluster Extraction from Unlabeled Datasets Using Nonlinear Methods

[Full Text]

 

AUTHOR(S)

Satish Kumar Soni, Ramjeevan Singh Thakur, Anil Kumar Gupta

 

KEYWORDS

Nonlinear Methods, Clustering, k_means, sk_means, optimization.

 

ABSTRACT

Clustering is an important task in machine learning to identify the unique groups within the data, based on some similarity measures. In this paper we are trying to study the effect of Nonlinear Methods to optimize clustering results and based on the findings thereafter we proposed a clustering optimization technique to further improve the quality of clusters experimented in Educational and Iris Datasets.

 

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