Research on model selection of Support Vector Machine .
支持向量机的模型选择研究。
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。
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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