[Retracted] Multiobjective Differential Evolution Clustering Algorithm Based on Multimedia Information in Working Mechanism Innovation for Traditional Chinese Medicine

Table 3

The average accuracy of the clustering results of each clustering number obtained by the proposed algorithm on the dataset 2d-20c with different combinations of crossover probability Cr and scaling factor .

CR
0.3	0.3	0.578	0.641	0.711	0.794	0.853	0.901	0.931	0.963	0.963
0.3	0.9	0.573	0.641	0.711	0.805	0.851	0.896	0.923	0.929	0.929
0.3	1.5	0.571	0.641	0.711	0.805	0.851	0.883	0.913	0.916	0.922
0.6	0.3	0.577	0.643	0.703	0.789	0.851	0.891	0.932	0.957	0.959
0.6	0.9	0.578	0.645	0.725	0.801	0.848	0.883	0.915	0.916	0.931
0.6	1.5	0.591	0.643	0.711	0.775	0.837	0.854	0.876	0.903	0.925
0.9	0.3	0.583	0.641	0.707	0.806	0.841	0.886	0.923	0.953	0.928
0.9	0.9	0.577	0.639	0.711	0.804	0.847	0.886	0.922	0.946	0.949