Illustration Design Model with Clustering Optimization Genetic Algorithm

Table 2

Clustering test results of the three algorithms.

	PSOAC		ACDE		QPSOAC
	K	DB	K	DB	K	DB
Synthetic	3.002e + 001	2.237e − 001	3.001e + 002	2.234e − 001	3.002e + 000	2.234e − 001
	(0.03e + 001)	(1.204e − 004)	(0.04e + 001)	(1.312e − 003)	(0.05e + 000)	(1.185e − 003)
Iris	2.630e + 002	6.022e − 002	3.300e + 003	5.835e − 001	3.052e + 000	4.576e − 001
	(7.049e − 001)	(3.223e − 003)	(4.831e − 002)	(3.141e − 002)	(2.208e − 001)	(2.115e − 002)
Glass	5.801e + 002	1.684e + 003	6.205e + 000	1.435e + 000	6.082e + 000	1.059e + 000
	(4.643e − 001)	(6.395 e − 004)	(4.799e − 001)	(3.038e − 002)	(3.497e − 001)	(1.473e − 002)
Breast	2.301e + 000	6.526e − 005	2.153e + 000	5.922e − 001	2.052e + 000	5.334e − 001
Cancer	(4.641e − 001)	(5.223e − 002)	(3.616e − 001)	(3.341e − 002)	(2.207e − 001)	(1.144e − 002)