Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy Means and -Means Algorithms

Table 5

Result of -means algorithm clustering for 1000 iterations (as obtained from Figure 5).

Steps concerning epochs	for stroke dataset (Figure 5(a))	for 2D mBd stroke dataset (Figure 5(b))
Epoch 1 with 200 iterations	317.372	192.979
Epoch 2 with 200 iterations	319.855	19.2988
Epoch 3 with 200 iterations	320.911	192.984
Epoch 4 with 200 iterations	318.939	19.2983
Epoch 5 with 200 iterations	317.292	19.2979