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...

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Bibliographic Details
Main Authors: Wei-Ting Yao, 姚威廷
Other Authors: 吳漢銘
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/24460542302146689830