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

Table 2

The comparison of all algorithms in terms of Acc, F, NMI, and ARI on UCI data sets.

Algorithm	Acc	F	NMI	ARI	Acc	F	NMI	ARI	Acc	F	NMI	ARI
	Iris				Wine				Segment
QMC-DPC (PCA)	0.860	0.760	0.677	0.742	0.528	0.648	0.523	0.345	0.681	0.611	0.751	0.539
QMC-DPC (AE)	0.883	0.785	0.787	0.771	0.516	0.611	0.588	0.406	0.616	0.578	0.612	0.562
QMC-DPC (t-SNE)	0.906	0.795	0.730	0.762	0.588	0.661	0.517	0.671	0.610	0.525	0.529	0.439
DPC-KNN-PCA	0.046	0.626	0.620	0.467	0.418	0.562	0.479	0.234	0.643	0.377	0.482	0.539
DLORE-DP	0.790	0.798	0.777	0.744	0.537	0.586	0.578	0.178	0.631	0.475	0.549	0.540
SNN-DPC	0.600	0.740	0.689	0.557	0.442	0.568	0.526	−0.005	0.617	0.374	0.016	0.429
DPC	0.886	0.785	0.783	0.719	0.465	0.610	0.486	0.353	0.617	0.534	0.701	0.539
DBSCAN	0.680	0.775	0.733	0.568	0.331	0.577	0.009	−0.002	0.442	0.377	0.431	0.227
AP	0.807	0.769	0.618	0.376	0.428	0.460	0.526	0.268	0.670	0.328	0.586	0.502
K-means	0.667	0.699	0.593	0.514	0.361	0.589	0.478	0.384	0.643	0.572	0.625	0.493
	Wpbc				Waveform				Breast
QMC-DPC (PCA)	0.715	0.699	0.036	0.042	0.522	0.498	0.207	0.155	0.472	0.644	0.073	0.017
QMC-DPC (AE)	0.779	0.573	0.053	0.022	0.495	0.513	0.368	0.263	0.505	0.639	0.062	0.017
QMC-DPC (t-SNE)	0.681	0.672	0.027	0.022	0.472	0.630	0.431	0.437	0.523	0.654	0.068	0.014
DPC-KNN-PCA	0.762	0.797	0.015	0.012	0.506	0.561	0.260	0.247	0.285	0.764	0.027	0.020
DLORE-DP	0.673	0.650	0.020	−0.061	0.595	0.587	0.382	0.333	0.303	0.741	0.052	0.004
SNN-DPC	0.752	0.786	0.019	−0.013	0.375	0.530	0.068	0.016	0.213	0.685	0.071	0.016
DPC	0.642	0.691	0.015	−0.007	0.222	0.546	0.217	0.216	0.516	0.541	0.000	0.004
DBSCAN	0.752	0.786	0.009	−0.013	0.331	0.577	0.000	0.025	0.353	0.438	0.059	0.015
AP	0.415	0.221	0.025	0.005	0.213	0.105	0.231	0.016	0.086	0.178	0.059	0.012
K-means	0.550	0.567	0.029	0.003	0.314	0.508	0.374	0.259	0.491	0.538	0.041	0.003
	Landsat				Pima				Zoo
QMC-DPC (PCA)	0.630	0.551	0.492	0.421	0.690	0.735	0.061	0.124	0.693	0.792	0.811	0.808
QMC-DPC (AE)	0.618	0.503	0.539	0.382	0.634	0.758	0.004	0.022	0.684	0.789	0.796	0.796
QMC-DPC (t-SNE)	0.612	0.517	0.458	0.370	0.390	0.687	0.007	0.027	0.712	0.813	0.822	0.803
DPC-KNN-PCA	0.617	0.456	0.381	0.141	0.347	0.738	0.004	0.002	0.589	0.786	0.689	0.731
DLORE-DP	0.635	0.546	0.540	0.358	0.352	0.709	0.002	0.011	0.029	0.739	0.690	0.644
SNN-DPC	0.517	0.463	0.267	0.089	0.651	0.736	0.000	0.001	0.049	0.856	0.831	0.713
DPC	0.636	0.573	0.547	0.411	0.347	0.738	0.004	0.002	0.376	0.352	0.348	0.076
DBSCAN	0.506	0.430	0.000	0.000	0.343	0.733	0.002	0.005	0.693	0.792	0.761	0.691
AP	0.104	0.327	0.504	0.187	0.010	0.159	0.079	0.017	0.267	0.758	0.792	0.573
K-means	0.565	0.647	0.548	0.469	0.622	0.559	0.028	0.054	0.674	0.712	0.743	0.633

The bold values mean the best results.