This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.

本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。

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This paper proposes CF-WFCM algorithm including feature weight learning algorithm and clustering algorithm.

提出CF-WFCM算法，该算法分为属性权重学习算法和聚类算法两部分。

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