Research Article
Semisupervised Deep Embedded Clustering with Adaptive Labels
Table 4
Clustering results on datasets of various ratios of labelled data.
| Datasets | 1% | 2% | 5% | 10% | 20% | 30% | 40% | 50% | ACC | NMI | ACC | NMI | ACC | NMI | ACC | NMI | ACC | NMI | ACC | NMI | ACC | NMI | ACC | NMI |
| MNIST | 0.809 | 0.774 | 0.815 | 0.783 | 0.843 | 0.828 | 0.886 | 0.881 | 0.920 | 0.916 | 0.965 | 0.946 | 0.965 | 0.949 | 0.975 | 0.952 | USPS | 0.748 | 0.755 | 0.758 | 0.776 | 0.776 | 0.784 | 0.787 | 0.807 | 0.805 | 0.847 | 0.861 | 0.884 | 0.884 | 0.881 | 0.885 | 0.878 | REUTERS-10K | 0.751 | 0.506 | 0.758 | 0.519 | 0.769 | 0.554 | 0.795 | 0.586 | 0.863 | 0.68 | 0.918 | 0.764 | 0.954 | 0.829 | 0.956 | 0.831 |
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