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

Table 1

Comparison of ACC and NMI results for the four methods based on synthetic data sets.

𝑘	ACC				NMI
	𝐾-means	Ncut	NMF	STClu	𝐾-means	Ncut	NMF	STClu
2	0.3959	0.4954	0.5449	0.6542	0.3480	0.5130	0.5895	0.6749
4	0.3855	0.4740	0.5120	0.6436	0.4148	0.5233	0.4416	0.6967
5	0.3773	0.4685	0.5205	0.6757	0.3810	0.5016	0.5781	0.6122
6	0.3710	0.4866	0.5425	0.5603	0.4162	0.5430	0.6041	0.6059
8	0.3864	0.4636	0.4893	0.6038	0.4257	0.5247	0.5098	0.7022
10	0.3711	0.4540	0.4919	0.6231	0.3960	0.5154	0.4082	0.7238
12	0.3896	0.4802	0.5231	0.5868	0.4051	0.5088	0.5916	0.5421
15	0.3819	0.4728	0.5102	0.4834	0.4180	0.5207	0.5252	0.6281
18	0.4121	0.4827	0.5082	0.5293	0.4315	0.5786	0.5850	0.5823
20	0.4019	0.5275	0.6110	0.6516	0.4171	0.5823	0.4390	0.6299
Average	0.3873	0.4805	0.5254	0.6012	0.4053	0.5311	0.5272	0.6398