International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Performance Evaluation of Soft Computing using Clustering Techniques, Authors : Dr. Suman Kumar Mishra, Mr. Shobhit Shukla, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 4, July - August 2017

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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