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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Di Zhu Xuefeng |
| Copyright Year | 2003 |
| Description | Author affiliation: Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China (Liu Di; Zhu Xuefeng) |
| Abstract | Based on mechanism that the vertebrate immune system remembers the antigen it has met before by retaining in the body some memory cells, an algorithm is proposed to search for the representative of the data set by generating its memory cells. The algorithm is first tested on a two-dimensional data set with three cluster centers to see if the memory cells built could really be representative. Then it is applied to a real world application, where the fuzzy C-means algorithm (FCM) is adopted to classify the tiles into different clusters according to the color similarity. The feature vectors extracted from the tile images act as the antigen and the memory cells generated are regarded as the initial cluster centers. Its performance was compared with that obtained with randomly initialized centers. By this algorithm, the number of clusters does not require to be pre-defined. The convergence speed and clustering accuracy of FCM are also improved. |
| Sponsorship | Air Force Iffice of Sci. Res. Asian Office of Aerospace Res and Development Army Res. Office - Far East CISCO Evoluationary Programming Soc. IEE Inst. of Engineers, Australia IEEE Neural Networks Soc. Univ. of New South Wales |
| Starting Page | 2815 |
| Ending Page | 2820 |
| File Size | 286172 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378040 |
| DOI | 10.1109/CEC.2003.1299445 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-12-08 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tiles Immune system Clustering algorithms Educational institutions Machine learning algorithms Adaptive systems Data engineering Testing Feature extraction Data mining |
| Content Type | Text |
| Resource Type | Article |
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