Applicability of F-value to Classification Problems with a Numerous Number of Explanatory Variables: Toward Classification Problems in Biometric and Kansei Engineering

T. Nagashima, Xinping Wang, Yoshifumi Okada, Masahiro Sawai
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Abstract

A Feature Extraction algorithm for systems with a numerous number of explanatory variables is developed The algorithm(FSM) achieves perfect performance in classification in gene expressions and hearing problems.
f值对具有大量解释变量的分类问题的适用性:探讨生物识别和感性工程中的分类问题
提出了一种多解释变量系统的特征提取算法,该算法在基因表达和听力问题的分类中取得了较好的效果。
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