Comparative Study of Various Distributed Clustering Algorithms |
Author(s): |
| AMITKUMAR KISHORBHAI DUDHAIYA , GOVERNMENT ENGINEERING COLLEGE MODASA; Bakul Panchal, LD Engineering College Ahmedabad |
Keywords: |
| Distributed Data Mining, Distributed Clustering DBDC Algorithm |
Abstract |
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Clustering is the process of data segmentation in which data is grouped together based on similarity to form a cluster. These clusters are very useful to extract interesting patterns from large data. But as application grows it generates large amount of data. The growing need for distributed clustering algorithms is required to handle huge size of databases that is common nowadays. Normal (Centralized) clustering Algorithms lags when we have large amount of data. In this paper gives general classification and Analysis of Traditional Distributed Clustering Algorithms |
Other Details |
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Paper ID: IJSRDV2I1309 Published in: Volume : 2, Issue : 1 Publication Date: 01/04/2014 Page(s): 703-705 |
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