Dataset Summarization by K Principal Concepts

Benchmark Model Rank Results
image-clustering-on-cifar-10Single-Noun PriorAccuracy: 0.853NMI: 0.731ARI: 0.702Train set: Train+Test
image-clustering-on-imagenet-100Single-Noun PriorNMI: 0.805ACCURACY: 0.731ARI: 0.628
image-clustering-on-imagenet-200Single-Noun PriorNMI: 0.749ACCURACY: 0.598ARI: 0.486
image-clustering-on-imagenet-50-1Single-Noun PriorNMI: 0.847ACCURACY: 0.827ARI: 0.744