Research Article

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

Table 3

Comparison of the ACC and NMI results for the four methods on PeMS with different time steps.

Time stepACCNMI
-meansNcutNMFSTClu -meansNcutNMFSTClu

10.26710.30330.32620.50520.27960.30850.32480.5052
20.27770.31570.33400.50530.29080.31840.32760.5065
30.28050.31020.30570.51000.28950.30190.32790.5477
40.27160.30740.27530.50830.28380.28560.31620.5323
50.27440.30540.33030.51400.28420.31150.31650.5836
60.27820.30900.31040.50280.28780.30350.31930.4839
70.28230.32630.32830.50770.29830.32080.32140.5277
80.27790.32750.28450.50910.29670.29990.30690.5395
90.25760.34090.38100.50270.28810.37960.33460.4834
100.24800.32560.36270.50860.27790.37590.34230.5350
110.23900.31180.34710.50720.26980.36780.32450.5227
120.23050.29890.33150.51200.26370.36560.34450.5653

Average0.26540.31520.32640.50770.28420.32830.32550.5277