提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p

包括主成分分析、因子分析、贝叶斯分析，gmcalab 快速广义的形态分量分析，本科毕设要求参见标准测试模型。- Including principal component analysis, factor analysis, Bayesian analysis, gmcalab fast generalized form component analysis, Undergraduate complete set requirements refer to the standard test m