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

Table 8

The comparison of F on UCI data sets.

Data sets	Dimension	Algorithm
		QMC-DPC (PCA)	QMC-DPC (AE)	QMC-DPC (t-SNE)
Iris	2	0.760	0.785	0.895
	3	0.783	0.709	0.947
	4	0.756	0.742	0.595
Wine	2	0.648	0.611	0.661
	3	0.614	0.610	0.500
	4	0.587	0.645	0.578
Segment	2	0.611	0.578	0.525
	3	0.423	0.301	0.412
	4	0.347	0.323	0.356
Wpbc	2	0.699	0.573	0.672
	3	0.632	0.564	0.576
	4	0.733	0.562	0.569
Waveform	2	0.595	0.534	0.479
	3	0.515	0.504	0.523
	4	0.498	0.513	0.630
Breast	2	0.644	0.639	0.654
	3	0.540	0.546	0.639
	4	0.539	0.578	0.598
Landsat	2	0.529	0.611	0.543
	3	0.475	0.591	0.553
	4	0.551	0.503	0.517
Pima	2	0.735	0.758	0.687
	3	0.712	0.711	0.626
	4	0.587	0.713	0.599
Zoo	2	0.792	0.789	0.813
	3	0.801	0.774	0.763
	4	0.765	0.752	0.698