Design of Optimal Nearest Neighbor Classifiers Using an Intelligent Multi-Objective Evolutionary Algorithm
碩士 === 逢甲大學 === 資訊工程所 === 92 === The k-nearest neighbor rule (k-NNR) is commonly used in applications of classifiers and data mining and the related area due to its simplicity and effectiveness. Theoretically, the goal of designing an optimal k-NNR classifier is to maximize the classification accura...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/99769536590969631313 |