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计算机应用 2006
Survey on dimension reduction techniques
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Abstract:
Dimension reduction techniques were discussed from the two aspects: feature selection and dimension transformation. Firstly, the basic theory and famous algorithms of feature selection were roughly introduced. Then, several most popular dimension transformation techniques were analyzed in detail including Principal Components Analysis and its related methods, Independent Components Analysis, factor analysis, projection pursuit, etc. Meanwhile, connection and distinction between them were provided. Finally, the present situation and future development of dimension reduction techniques were pointed out.