Exploring Data Clustering using DBCAN |
Author(s): |
| Alka Shrivastava , Bharti College of Engineering & Technology; Suman Swarnkar, Bharti College of Engineering & Technology |
Keywords: |
| TPR, FNR, ML, NIDS |
Abstract |
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Clustering is demarcated as a technique in which data are alienated into different groups in such a way that items in every one group stake more similarity than with other items in other groups. Data clustering is a renowned technique in numerous areas of computer science and associated domains. DBSCAN is the illustrious method density centered data clustering method. Several implementation of DBSCAN has been done which made improvement in different aspects of DBSCAN and improved the performance. In this paper we will explore existing approach of numerous researchers meant for improving DBSCAN performance. In this paper we will focus on distributed approach applied for DBSCAN. |
Other Details |
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Paper ID: IJSRDV5I120262 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 1141-1144 |
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