Class-Conditional Locally Linear Embedding for Classification
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 95 === The real-world data in a high dimensional space often contain redundant information, and the intrinsic dimensionality of the data may be low in geometry. Therefore, a dimensionality reduction method is required to apply to data before classification for effici...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/55302843609556729940 |