Research Article
Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation
Table 2
Experimental clustering effectiveness results.
| Method | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Mean | SD |
| DTW_AP | 0.76 | 1.00 | 0.93 | 0.72 | 0.95 | 0.80 | 0.73 | 0.83 | 0.89 | 0.64 | 0.83 | 0.12 | cACM | 0.76 | 0.99 | 0.79 | 0.73 | 0.95 | 0.84 | 0.73 | 0.83 | 0.88 | 0.64 | 0.81 | 0.11 | OAP | 0.51 | 0.98 | 0.93 | 0.81 | 0.92 | 0.74 | 0.73 | 0.67 | 0.88 | 0.57 | 0.77 | 0.16 | PCA_AP | 0.10 | 0.86 | 0.72 | 0.83 | 0.16 | 0.64 | 0.70 | 0.67 | 0.76 | 0.66 | 0.61 | 0.26 | | 0.31 | 0.48 | 0.59 | 0.67 | 0.67 | 0.52 | 0.67 | 0.57 | 0.77 | 0.41 | 0.56 | 0.14 | PDC | 0.08 | 0.10 | 0.59 | 0.68 | 0.31 | 0.50 | 0.60 | 0.67 | 0.68 | 0.38 | 0.46 | 0.23 |
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