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计算机应用研究 2008
Survey on feature dimension reduction for high-dimensional data
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Abstract:
Feature dimension reduction is effective in improving machine learning,the point is how to search the subset and selection criteria.This paper defined general models for dimension reduction,compared different approaches, and discussed the unresolved topics and development trends.