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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Performance Evaluation of Soft Computing using Clustering Techniques
Author Name:
Dr. Suman Kumar Mishra, Mr. Shobhit Shukla
Abstract:
Abstract Soft Computing can be considered as a tool to handle inexactness and uncertainty. The main concept of soft computing is to exploit the forbearance for inexactness, uncertainty, fractional truth and approximation to accomplish tractability, robustness and inexpensive solutions. It is used to solve real life problems full of uncomfortable features due to fractional, unclear, noisy and partial information. Clustering gets its name as a metaphor for the soft computing. Clustering aims to divide data groups into subgroups called clusters. Clustering is still searching for killer applications that not only takes advantage of its promise of "high performance and short development lead time". This paper focuses on the evaluation of the Genetic Algorithm concept of Soft Computing and measures its performance using various clustering techniques. Keywords: Soft Computing, Genetic Algorithms, Clustering, K-means and K - means++.
Cite this article:
Dr. Suman Kumar Mishra, Mr. Shobhit Shukla , " Performance Evaluation of Soft Computing using Clustering Techniques" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 017-020 , ISSN 2278-6856.
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NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week. 

 

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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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