说明：   先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=xx4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离.
(C-means clustering procedure, and the following data and cluster analysis. Confirm the programming is correct, Cai Yunlong Appendix B of Table 1 of the Iris data clustering. And then use a fast nearest neighbor algorithm to find out to be sub-sample of X (four components of the sample Let X x1 = x2 = x3 = xx4 = 6 nearest neighbor nodes of a subset of the number of l = 3) and 3- nearest neighbor nodes and X the distance between them.-First C-means clustering algorithm procedures and with the follo)