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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Viswanath, P. Jayasurya, K. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. (Viswanath, P.) |
| Abstract | Ensemble of clustering methods is recently shown to perform better than conventional clustering methods. One of the drawback of the ensemble is, its computational requirements can be very large and hence may not be suitable for large data sets. The paper presents an ensemble of leaders clustering methods where the entire ensemble requires only a single scan of the data set. Further, the component leaders complement each other while deriving individual partitions. A heuristic based consensus method to combine the individual partitions is presented and is compared with a well known consensus method called co-association based consensus. Experimentally the proposed methods are shown to perform well |
| Sponsorship | IEEE CPS |
| Starting Page | 720 |
| Ending Page | 723 |
| File Size | 222422 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering methods Scalability Computer science Biotechnology Voting Boosting Usability Data mining Noise shaping Clustering algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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