模糊聚类分析程序

你可将word，excel表的数据直接拷入左边的文本框内，按提交进行计算。

Succeed for sample data! 1-欧氏距离法
打印相似矩阵
M=0

1	0.977	0.931	0.984	0.991	-0.789	-0.965	-0.964	-0.97	-0.818
	1	0.976	0.978	0.992	-0.75	-0.986	-0.953	-0.963	-0.857
		1	0.911	0.943	-0.591	-0.932	-0.865	-0.883	-0.941
			1	0.996	-0.866	-0.992	-0.994	-0.997	-0.745
				1	-0.816	-0.991	-0.98	-0.986	-0.803
					1	0.841	0.914	0.899	0.311
						1	0.984	0.989	0.761
							1	0.999	0.67
								1	0.695
									1

M=2

1	0.991	0.976	0.991	0.991	-0.591	-0.789	-0.789	-0.789	-0.745
	1	0.976	0.992	0.992	-0.591	-0.75	-0.75	-0.75	-0.745
		1	0.976	0.976	-0.591	-0.591	-0.591	-0.591	-0.591
			1	0.996	-0.591	-0.745	-0.745	-0.745	-0.745
				1	-0.591	-0.803	-0.803	-0.803	-0.745
					1	0.914	0.914	0.914	0.761
						1	0.989	0.989	0.761
							1	0.999	0.761
								1	0.761
									1

M=4

1	0.991	0.976	0.991	0.991	-0.591	-0.591	-0.591	-0.591	-0.591
	1	0.976	0.992	0.992	-0.591	-0.591	-0.591	-0.591	-0.591
		1	0.976	0.976	-0.591	-0.591	-0.591	-0.591	-0.591
			1	0.996	-0.591	-0.591	-0.591	-0.591	-0.591
				1	-0.591	-0.591	-0.591	-0.591	-0.591
					1	0.914	0.914	0.914	0.761
						1	0.989	0.989	0.761
							1	0.999	0.761
								1	0.761
									1

M=6

1	0.991	0.976	0.991	0.991	-0.591	-0.591	-0.591	-0.591	-0.591
	1	0.976	0.992	0.992	-0.591	-0.591	-0.591	-0.591	-0.591
		1	0.976	0.976	-0.591	-0.591	-0.591	-0.591	-0.591
			1	0.996	-0.591	-0.591	-0.591	-0.591	-0.591
				1	-0.591	-0.591	-0.591	-0.591	-0.591
					1	0.914	0.914	0.914	0.761
						1	0.989	0.989	0.761
							1	0.999	0.761
								1	0.761
									1

以上打印的是在M=6时的模糊等价矩阵

在λ=0.998的水平可归为一类的有:
X(8) X(9)
在λ=0.995的水平可归为一类的有:
X(4) X(5) X(8) X(9)
在λ=0.991的水平可归为一类的有:
X(2) X(4) X(5) X(8) X(9)
在λ=0.99的水平可归为一类的有:
X(1) X(2) X(4) X(5) X(8) X(9)
在λ=0.988的水平可归为一类的有:
X(1) X(2) X(4) X(5) X(7) X(8) X(9)
在λ=0.975的水平可归为一类的有:
X(1) X(2) X(3) X(4) X(5) X(7) X(8) X(9)
在λ=0.914的水平可归为一类的有:
X(1) X(2) X(3) X(4) X(5) X(6) X(7) X(8) X(9)
在λ=0.761的水平可归为一类的有:
X(1) X(2) X(3) X(4) X(5) X(6) X(7) X(8) X(9) X(10)
##########计算结束##########