Feature Selection for Partial Least Square Based Dimension Reduction
Abstract
In this chapter, we will introduce our recent works on feature selection for Partial Least Square based Dimension Reduction (PLSDR). Some previous works of PLSDR, have performed well on bio-medical and chemical data sets, but there are still some problems, like how to determine the number of principle components and how to remove the irrelevant and redundant features for PLSDR. Firstly, we propose a general framework to describe how to perform...
Paper Details
Title
Feature Selection for Partial Least Square Based Dimension Reduction
Published Date
Jan 1, 2009
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