Laplacian Eigenmaps for Differentiating Trace Elements in Normal and Malignant Breast Patients
碩士 === 國立中興大學 === 應用數學系所 === 105 === In this thesis, we mainly focus on a nonlinear dimension reduction technique of Laplacian Eigenmaps (LE), and also use two techniques for dimension reduction which are Principal Component Analysis (PCA) and Locally Linear Embedding(LLE) respectively. We analyze d...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87975663377157457629 |