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

Table 2

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

𝑘	ACC				NMI
	𝐾-means	Ncut	NMF	STClu	𝐾-means	Ncut	NMF	STClu
2	0.2716	0.3014	0.3163	0.5060	0.2808	0.3027	0.3260	0.5127
3	0.2685	0.2950	0.3064	0.5065	0.2762	0.2947	0.3197	0.5167
5	0.2660	0.2933	0.3089	0.5107	0.2741	0.2952	0.3256	0.5540
8	0.2641	0.2988	0.3155	0.5123	0.2759	0.3011	0.3119	0.5679
10	0.2687	0.2919	0.2996	0.5078	0.2748	0.2899	0.3105	0.5282
12	0.2642	0.2890	0.3004	0.5115	0.2711	0.2889	0.3137	0.5611
15	0.2697	0.2969	0.3097	0.5057	0.2777	0.2973	0.3129	0.5098
19	0.2674	0.2946	0.3059	0.5104	0.2754	0.2943	0.2959	0.5510
20	0.2764	0.2976	0.3052	0.5164	0.2813	0.2955	0.3023	0.6043
Average	0.2685	0.2954	0.3075	0.5097	0.2764	0.2955	0.3132	0.5451