Particle Swarm Optimization-based Impurity Function Band Prioritization Using Weighted Majority Voting for Feature Extraction of High Dimensional Data Sets
碩士 === 國立臺北科技大學 === 電機工程系所 === 101 === In recent years, with the improvement of technologies, the numbers of data in the high dimension data sets are also increased and using feature extraction is one of the methods that can reduced dimension to solve the big data computational complexity problem. F...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3hwj9w |