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

Table 9

The comparison of NMI on UCI data sets.

Data sets	Dimension	Algorithm
		QMC-DPC (PCA)	QMC-DPC (AE)	QMC-DPC (t-SNE)
Iris	2	0.677	0.787	0.771
	3	0.783	0.709	0.947
	4	0.709	0.703	0.362
Wine	2	0.523	0.558	0.517
	3	0.437	0.435	0.248
	4	0.377	0.470	0.384
Segment	2	0.751	0.612	0.529
	3	0.321	0.296	0.468
	4	0.013	0.324	0.343
Wpbc	2	0.036	0.053	0.027
	3	0.018	0.012	0.023
	4	0.733	0.562	0.569
Waveform	2	0.426	0.396	0.323
	3	0.515	0.504	0.523
	4	0.207	0.368	0.431
Breast	2	0.073	0.062	0.068
	3	0.049	0.018	0.058
	4	0.021	0.018	0.039
Landsat	2	0.531	0.590	0.555
	3	0.430	0.598	0.605
	4	0.492	0.539	0.458
Pima	2	0.061	0.004	0.007
	3	0.002	0.001	0.002
	4	0.035	0.040	0.005
Zoo	2	0.811	0.796	0.822
	3	0.784	0.735	0.786
	4	0.762	0.713	0.722