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：
Is a machine learning routine, can achieve the two-dimensional data clustering, using the weighted network node strength and weight are power-law distribution model, constitute different frequency modulation signal, analytic hierarchy process (AHP) is used to calculate the maximum eigenvalue of Judgment Matrix, and PSO clustering algorithm based on K-means.