DocumentCode
133325
Title
A novel study of fuzzy clustering algorithms for their applications in various domains
Author
Vats, Prashant
Author_Institution
HMRITM, New Delhi, India
fYear
2014
fDate
5-8 March 2014
Firstpage
1
Lastpage
6
Abstract
Fuzzy clustering techniques allows for a meaningful generalizations to be made in bulk quantities of data by recognizing a few basic patterns among them. Fuzzy clustering approach is based on statistical analysis of data sets for determining whether the objects of a space would fall into different groups by making quantifiable comparisons of multiple characteristics. This technique finds its applications in providing solutions to a number of real time problems. So in this paper we have enlisted few applications of Fuzzy clustering technique into various areas for their useful results produced by the application of this technique into the respective areas.
Keywords
data analysis; pattern clustering; statistical analysis; data set statistical analysis; fuzzy clustering algorithm; fuzzy clustering technique; pattern recognition; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Complexity theory; Image segmentation; Standards; Synthetic aperture radar; Fuzzy clustering; clusters; clutters; data sets; mediods; outliers;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology, Electronic and Electrical Engineering (JICTEE), 2014 4th Joint International Conference on
Conference_Location
Chiang Rai
Print_ISBN
978-1-4799-3854-4
Type
conf
DOI
10.1109/JICTEE.2014.6804068
Filename
6804068
Link To Document