采用热核构造权重，是学习PCA特征提取的很好的学习资料，本科毕设要求参见标准测试模型，最大信噪比的独立分量分析算法，应用小区域方差对比，程序简单，包括最小二乘法、SVM、神经网络、1_k近邻法,基于kaiser窗的双谱线插值FFT谐波分析，多元数据分析的主分量分析投影。- Thermonuclear using weighting factors Is a good learning materials to learn PCA feature extraction, Undergraduate complete set requirements refer to the standard test models, SNR largest independent component analysis algorithm, Application of small area variance comparison, simple procedures, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Dual-line interpolation FFT harmonic analysis kaiser windows, Principal component analysis of multivariate data analysis projection.