The Survey for Applications of Manifold Learning
碩士 === 逢甲大學 === 應用數學所 === 96 === Most of the data in natural and social sciences are very high-dimensional. However, the underlying structure in high dimensions can be described by a small number of features. Therefore, reducing dimension of the data is beneficial for visualizing the intrinsic chara...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/44981446141223767956 |