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DC Field | Value | Language |
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dc.contributor.author | KAUL, HIMANSHU | - |
dc.date.accessioned | 2016-07-04T04:47:05Z | - |
dc.date.available | 2016-07-04T04:47:05Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/14900 | - |
dc.description.abstract | Clustering is a key activity in numerous data mining applications such as information retrieval, text mining, image segmentation, etc. This research work proposes a clustering approach, Fuzzy-GSA, based on gravitational search algorithm (GSA) with parameter adaptation using fuzzy inference system. The parameter α, used in the calculation of the gravitational constant G, plays a crucial role in guiding the search process in GSA. Lower values of α increase search exploration, whereas higher values increase search exploitation. In the proposed Fuzzy-GSA approach, fuzzy inference rules are used to control the value of parameter α in GSA. The performance of the Fuzzy-GSA algorithm is evaluated against four benchmark datasets. The results illustrate that the Fuzzy-GSA approach attains the highest quality clustering when compared with several other clustering algorithms. | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TD NO.1991; | - |
dc.subject | CLUSTERING | en_US |
dc.subject | FUZZY-GSA | en_US |
dc.subject | GRAVITATIONAL SEARCH ALGORITHM | en_US |
dc.subject | FUZZY INTERFACE SYSTEM | en_US |
dc.title | FUZZY CLUSTERING USING GRAVITATIONAL SEARCH ALGORITHM | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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2K13SWE04 (2).pdf | 1.1 MB | Adobe PDF | View/Open |
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