Modified Oja's Algorithms For Principal Subspace and Minor Subspace extraction
作者:Tianping Chen
摘要
Principal component extraction and minor component extraction are well known and powerful techniques in time series. Modified Oja's algorithms for extracting principal and minor component subspaces are proposed. The only difference between them is the sign of the first term in the iteration equations. Simulations show that the algorithms are effective.
论文关键词:minor component subspace extraction, principal component subspace extraction
论文评审过程:
论文官网地址:https://doi.org/10.1023/A:1009609924150