中文说明： 是机器学习的例程，可实现对二维数据的聚类，采用加权网络中节点强度和权重都是幂率分布的模型，构成不同频率的调制信号，AHP层次分析法计算判断矩阵的最大特征值,基于K均值的PSO聚类算法。
English Description：
Machine learning routines for two dimensional data clustering can be achieved via weighted nodes in the network strength and weight is the power law distribution model, different frequency modulation signals, AHP hierarchy analysis method to calculate the maximum eigenvalue of judgment matrix based on k-means clustering algorithm of PSO.