International Scholarly Research Notices

Research Article

Canonical PSO Based -Means Clustering Approach for Real Datasets

Table 2

Results after second iteration.
Data objectsClust1Clust2Clust3New cluster
100.517.36.75Clust1
121.515.38.75Clust1
154.512.311.75Clust1
73.520.33.75Clust1
2211.55.318.75Clust2
2918.51.725.75Clust2
3120.53.727.75Clust2
37.524.30.25Clust3
19.526.32.25Clust3
55.522.31.75Clust3
73.520.33.75Clust1
46.523.31.25Clust3
122.515.38.75Clust1
110.516.37.75Clust1
100.517.36.75Clust1
    Number of items
Clust1 = {10, 12, 15, 7, 12, 7, 11, 10}8
Clust2 = {22, 29, 31}3
Clust3 = {3, 1, 5, 4}4