www.pudn.com > NeuralNetworkSourceCode.zip > VQ3.OUT, change:2001-02-17,size:3885b
The input patterns are: Pattern[0][0]=1.000000 Pattern[0][1]=0.000000 Pattern[1][0]=4.000000 Pattern[1][1]=0.000000 Pattern[2][0]=0.000000 Pattern[2][1]=1.000000 Pattern[3][0]=0.000000 Pattern[3][1]=3.000000 Pattern[4][0]=1.000000 Pattern[4][1]=1.000000 Pattern[5][0]=4.000000 Pattern[5][1]=1.000000 Pattern[6][0]=5.000000 Pattern[6][1]=1.000000 Pattern[7][0]=0.000000 Pattern[7][1]=0.000000 Pattern[8][0]=1.000000 Pattern[8][1]=3.000000 Pattern[9][0]=0.000000 Pattern[9][1]=4.000000 Pattern[10][0]=1.000000 Pattern[10][1]=4.000000 Pattern[11][0]=5.000000 Pattern[11][1]=0.000000 PATTERN 0: No Clusters exist so allocate a new cluster 0 patern 0 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.000000,0.000000] CLUSTER Membership Cluster 0 ==>{0 } PATTERN 1: The closest cluster is: 0 Distance 3.000000 < 3.500000 Therefore cluster 0 passed the distance test. patern 1 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[2.500000,0.000000] CLUSTER Membership Cluster 0 ==>{0 1 } PATTERN 2: The closest cluster is: 0 Distance 2.692582 < 3.500000 Therefore cluster 0 passed the distance test. patern 2 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.666667,0.333333] CLUSTER Membership Cluster 0 ==>{0 1 2 } PATTERN 3: The closest cluster is: 0 Distance 3.144660 < 3.500000 Therefore cluster 0 passed the distance test. patern 3 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.250000,1.000000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 } PATTERN 4: The closest cluster is: 0 Distance 0.250000 < 3.500000 Therefore cluster 0 passed the distance test. patern 4 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.200000,1.000000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 } PATTERN 5: The closest cluster is: 0 Distance 2.800000 < 3.500000 Therefore cluster 0 passed the distance test. patern 5 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.666667,1.000000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 } PATTERN 6: The closest cluster is: 0 Distance 3.333333 < 3.500000 Therefore cluster 0 passed the distance test. patern 6 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[2.142857,1.000000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 } PATTERN 7: The closest cluster is: 0 Distance 2.364706 < 3.500000 Therefore cluster 0 passed the distance test. patern 7 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.875000,0.875000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 7 } PATTERN 8: The closest cluster is: 0 Distance 2.298097 < 3.500000 Therefore cluster 0 passed the distance test. patern 8 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.777778,1.111111] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 7 8 } PATTERN 9: The closest cluster is: 0 Distance 3.392075 < 3.500000 Therefore cluster 0 passed the distance test. patern 9 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.600000,1.400000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 7 8 9 } PATTERN 10: The closest cluster is: 0 Distance 2.668333 < 3.500000 Therefore cluster 0 passed the distance test. patern 10 assigned to cluster 0 The new cluster centers are: CLUSTER 0 ==>[1.545455,1.636364] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 7 8 9 10 } PATTERN 11: The closest cluster is: 0 distance 3.822508 > 3.500000 Therefore cluster 0 failed the distance test. so create NEW cluster number:1 patern 11 assigned to cluster 1 The new cluster centers are: CLUSTER 0 ==>[1.545455,1.636364] CLUSTER 1 ==>[5.000000,0.000000] CLUSTER Membership Cluster 0 ==>{0 1 2 3 4 5 6 7 8 9 10 } Cluster 1 ==>{11 }