Formulating LLE using alignment technique

被引:21
作者
Zhao, Deli [1 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200040, Peoples R China
关键词
LLE; LTSA; nonlinear dimensionality reduction; manifold learning;
D O I
10.1016/j.patcog.2006.05.007
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
LLE is a well-known method to nonlinear dimensionality reduction. In this short paper, we present an alternative way to formulate LLE. The alignment technique is exploited to align the local coordinates on the local patches of manifolds to be the global ones. The efficient computation of embedding coordinates-of LLE automatically appears in the proposed framework. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2233 / 2235
页数:3
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