Nonnegative Matrix Factorization-Based Spatial-Temporal Clustering for Multiple Sensor Data Streams

Table 4

Comparison of the ACC and NMI results for the four methods on PeMS with the number of clusters varying from 2 to 20 at different time steps.

Time step	ACC				NMI
	𝐾-means	Ncut	NMF	STClu	𝐾-means	Ncut	NMF	STClu
1	0.2694	0.3024	0.3213	0.5056	0.2802	0.3056	0.3254	0.5090
2	0.2731	0.3054	0.3202	0.5059	0.2835	0.3066	0.3237	0.5116
3	0.2733	0.3018	0.3073	0.5104	0.2818	0.2986	0.3268	0.5509
4	0.2679	0.3031	0.2954	0.5103	0.2799	0.2934	0.3141	0.5501
5	0.2716	0.2987	0.3150	0.5109	0.2795	0.3007	0.3135	0.5559
6	0.2712	0.2990	0.3054	0.5072	0.2795	0.2962	0.3165	0.5225
7	0.2760	0.3116	0.3190	0.5067	0.2880	0.3091	0.3172	0.5188
8	0.2727	0.3111	0.2952	0.5098	0.2861	0.2971	0.3014	0.5453
9	0.2670	0.3193	0.3431	0.5096	0.2847	0.3376	0.3185	0.5439
10	0.2607	0.3184	0.3494	0.5107	0.2822	0.3466	0.3389	0.5536
11	0.2481	0.3093	0.3384	0.5085	0.2731	0.3398	0.3301	0.5344
12	0.2539	0.3044	0.3084	0.5129	0.2757	0.3286	0.3308	0.5731
Average	0.2654	0.3152	0.3264	0.5077	0.2842	0.3283	0.3255	0.5277