Clustering by Hybrid K-Means-Based Rider Sunflower Optimization Algorithm for Medical Data

Table 1

Comparative result analysis table.

Input	Comparative metrics	K-means	KHM	FCM	KM + RSFO
Input size	Accuracy (%)	79.984	81.021	83.2842	90.026
	Jaccard coefficient (%)	64.109	74.253	78.735	89.3426
	Random coefficient (%)	70.953	72.095	78.936	92.767

Bold values show the result of the proposed KM+RSFO algorithm.