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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sun Lin Yan Jing Chen Yongmin Luo Songtao |
| Copyright Year | 2009 |
| Description | Author affiliation: Beijing Vocational College of Finance and Commerce, 100001, China (Yan Jing; Luo Songtao) || Department of Control Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China (Sun Lin) || TCL Holdings CO., LTD, Shenzhen, 518000, China (Chen Yongmin) |
| Abstract | In this paper, we proposed a new data clustering method MATS that was inspired by animals, for example, the dog or the ant, which use scent to mark out their turf. MATS can automatically find clusters, depending on a few parameters that are not directly related to the data set. In addition, there are some existence technique was also utilized in our method, such as the density concept and cluster validity index (DB-index). The experiment results verified that MATS is able to discover clusters with varying shapes and is effective when applied to image segmentation. |
| Starting Page | 304 |
| Ending Page | 307 |
| File Size | 89599 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439287 |
| DOI | 10.1109/ITIME.2009.5236409 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Control engineering Animals Shape Clustering methods Finance Pattern classification Educational institutions Sun Business |
| Content Type | Text |
| Resource Type | Article |
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