The different classification kernel functions are compared, and analysis shows that the radial base function most suits the corn leaf disease classification recognition.
不同的分类核函数的相互比较分析表明，径向基核函数最适合玉米病害的分类识别。
For the crustal vertical deformation analysis, higher-order kernel function is not sortable.
就地壳垂直形变分析的实际情况而言，不宜采用高阶的核函数。
Base on these, we propose a kernel function include fractional inner-product model which is better fulfill these properties, and apply it to kernel principle component analysis.
在此基础上，提出了更好的满足这些性能的小指数点积核函数，并将应用到主分量分析中。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
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