Density Peaks Clustering Based on Feature Reduction and Quasi-Monte Carlo

Table 10

The comparison of ARI on UCI data sets.

Data sets	Dimension	Algorithm
		QMC-DPC (PCA)	QMC-DPC (AE)	QMC-DPC (t-SNE)
Iris	2	0.742	0.771	0.762
	3	0.670	0.529	0.922
	4	0.560	0.563	0.266
Wine	2	0.345	0.406	0.671
	3	0.318	0.292	0.149
	4	0.288	0.380	0.353
Segment	2	0.539	0.562	0.439
	3	0.103	0.129	0.295
	4	0.002	0.129	0.197
Wpbc	2	0.042	0.022	0.022
	3	−0.040	−0.008	0.028
	4	0.030	−0.000	−0.018
Waveform	2	0.300	0.301	0.336
	3	0.267	0.255	0.273
	4	0.155	0.263	0.437
Breast	2	0.073	0.062	0.068
	3	−0.001	−0.004	−0.003
	4	−0.000	−0.001	−0.022
Landsat	2	0.428	0.528	0.451
	3	0.285	0.488	0.461
	4	0.421	0.382	0.370
Pima	2	0.124	0.022	0.027
	3	0.010	0.008	0.064
	4	0.076	0.059	0.024
Zoo	2	0.808	0.796	0.803
	3	0.774	0.722	0.785
	4	0.765	0.684	0.752