k-means聚类算法在二维平面上的可视化实现 聚类时可以设置类数和迭代阈值 聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and clas

基于K均值的PSO聚类算法,旋转机械二维全息谱计算的实用例程，可直接计算得到多重分形谱。- K-means clustering algorithm based on the PSO, Rotating Machinery dimensional hologram of practical spectrum calculation routines, It can be directly calculated multi-fractal spectrum.

最大信噪比的独立分量分析算法，利用最小二乘算法实现对三维平面的拟合，基于K均值的PSO聚类算法。- SNR largest independent component analysis algorithm, Least-squares algorithm to fit a three-dimensional plane, K-means clustering algorithm based on the PSO.