The document shows the within cluster sum of squared errors for clustering algorithms using 2 to 10 clusters. The error decreases as more clusters are used, with the lowest error of 151.0 being for 10 clusters. It also notes that multi-layer perceptron methods were used and the training time was 200 and 500.

5. numberCluster 2 (Within cluster sum of squared errors: 259.0)
numberCluster 3 (Within cluster sum of squared errors: 234.0)
numberCluster 4 (Within cluster sum of squared errors: 214.0)
numberCluster 5 (Within cluster sum of squared errors: 188.0)
numberCluster 6 (Within cluster sum of squared errors: 182.0)
numberCluster 7 (Within cluster sum of squared errors: 175.0)
numberCluster 8 (Within cluster sum of squared errors: 173.0)
numberCluster 9 (Within cluster sum of squared errors: 159.0)
numberCluster 10 (Within cluster sum of squared errors: 151.0)

13. tranningTime= 200 โดยใช้วิธี MultiLayererceptron

16. tranningTime= 500