Dynamic Clustering using Support Vector Learning with Particle Swarm Optimization
碩士 === 義守大學 === 資訊管理學系碩士班 === 93 === This thesis presents a new approach to the support vector learning for dynamic clustering based on particle swarm optimization. Support vector clustering requires solving a constrained quadratic optimization problem. This problem often involves a matrix with an e...
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| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/24738961738625998818 |