Research Article
A Novel Long- and Short-Term Memory Network with Time Series Data Analysis Capabilities
Table 4
Clustering results of different clustering algorithms.
| Dataset | Index | K-means | FCM | SSC | UK-means |
| Adiac | Acc | 0.6717 | 0.6803 | 0.6987 | 0.7097 | F-score | 0.6385 | 0.6417 | 0.6542 | 0.6686 |
| Beef | Acc | 0.5895 | 0.5998 | 0.6231 | 0.8110 | F-score | 0.6589 | 0.6676 | 0.6889 | 0.7874 |
| CBF | Acc | 0.6367 | 0.6432 | 0.8129 | 0.8724 | F-score | 0.5764 | 0.5810 | 0.7675 | 0.8289 |
| ChlorineCon | Acc | 0.5577 | 0.5618 | 0.5820 | 0.6887 | F-score | 0.6349 | 0.6446 | 0.6527 | 0.6510 |
| CinCECGTorso | Acc | 0.6726 | 0.6823 | 0.6956 | 0.6854 | F-score | 0.5527 | 0.5598 | 0.5721 | 0.5938 |
| Coffee | Acc | 0.6832 | 0.6788 | 0.6890 | 0.6882 | F-score | 0.7276 | 0.7142 | 0.7289 | 0.7245 |
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