Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms

Table 6

Parameters set for C-Bat and C-ACO.

C-Bat	C-ACO
A (loudness): 0.5	Population: 400
R (pulse rate): 0.5	q (threshold): 0.9
Number of clusters: 4	Number of clusters: 4
Max number of iterations: 20	rho (evaporation rate): 0.1
(frequency min): 0	Number of clusters: 4
(frequency max): 0.2	Max number of iterations: 20
Population: 400