Research Article

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

Table 10

Testing objective function fitness and CPU time consumption on Haberman.

Objective function value
ā€‰BestWorstAverage

K-means30507.020731321.213430912.2141
C-ACO2888.4833051.1412933.164
C-Firefly30507.273531567.7231 30822.3426
C-Cuckoo30507.020730574.241230591.1234
C-Bat30507.892831455.124130712.8321

CPU time (second)
ā€‰BestWorstAverage

K-means170.0535174.123152172.743
C-ACO825.2858856.3724831.223
C-Firefly1257.67721289.31241266.4123
C-Cuckoo25.161126.231225.4431
C-Bat14.55914.90814.672