3.3067 1.7224305022587023100 3.6801 2.3044 0.8303 1.7791 1.3328 (1)、利用欧氏距离公式计算初始距离阵中缺少的几个样品间的距离d并填于表中; (2)、利用最短距离法进行系统聚类,并绘制谱系图 (3)、若距离阈值(T为12和1.5时各分为哪几类? AS系统 The ClUster Procedure Single linkage Cluster Analysis Eigenvalues of the Correlation Matrix Eigenvalue Difference Proportion Cumulative 12.312982651.84919279 0.7710 0.7710 0.1546 0.9256 30.22322749 0.0744 1.0000 The data have been standardized to mean o and variance 1 Root-Mean-Square Total-Sample standard Deviation Cluster hist Mi NCL --Clusters Joined--- Dist 5 0B4 20.8286 4 0B2 CL5 0B3 21.7224 1 CL2 CL3 62.30431 3.3067 1.7224 3.0502 2.5870 2.3100 2 2.5226 1.0431 1.6347 1.8296 3 3.6801 3.3096 2.3044 4 0.8303 1.7791 5 1.3328 （1）、利用欧氏距离公式计算初始距离阵中缺少的几个样品间的距离 dij 并填于表中； （2）、利用最短距离法进行系统聚类，并绘制谱系图； （3）、若距离阈值(T)为 1.2 和 1.5 时各分为哪几类？ SAS 系统 The CLUSTER Procedure Single Linkage Cluster Analysis Eigenvalues of the Correlation Matrix Eigenvalue Difference Proportion Cumulative 1 2.31298265 1.84919279 0.7710 0.7710 2 0.46378986 0.24056238 0.1546 0.9256 3 0.22322749 0.0744 1.0000 The data have been standardized to mean 0 and variance 1 Root-Mean-Square Total-Sample Standard Deviation = 1 Cluster History Min NCL --Clusters Joined--- FREQ Dist 5 OB4 OB5 2 0.8286 4 OB2 CL5 3 1.0432 3 CL4 OB6 4 1.3329 2 OB1 OB3 2 1.7224 1 CL2 CL3 6 2.3043