Isometric sliced inverse regression for nonlinear manifolds learning
碩士 === 淡江大學 === 數學學系碩士班 === 98 === Sliced inverse regression (SIR) was introduced to find an effective linear dimension-reduction direction to explore the intrinsic structure of high dimensional data. In this study, we present isometric SIR for nonlinear dimension reduction - a hybrid of the SIR met...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2010
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Online Access: | http://ndltd.ncl.edu.tw/handle/24460542302146689830 |