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

Table 7

Result of FCM algorithm clustering with for 1000 Iterations (as obtained from Figure 6).

Steps concerning epochs	Objective function vector for stroke dataset; (Figure 6(a))	Objective function vector for 2D mBd stroke dataset; (Figure 6(b))
Epoch 1 with 200 iterations	3.2285, 2.4407, 2.4406	0.0318, 0.239, 0.237
Epoch 2 with 200 iterations	3.1957, 2.4407, 2.4406	0.0319, 0.239, 0.237
Epoch 3 with 200 iterations	3.2490, 2.4407, 2.4406	0.0317, 0.238, 0.235
Epoch 4 with 200 iterations	3.2824, 2.4407, 2.4406	0.0316, 0.238, 0.234
Epoch 5 with 200 iterations	3.2255, 2.4407, 2.4406	0.0316, 0.239, 0.238