Counting tiles: generating a synthetic dataset for unsupervised learning

Counting tiles: generating a synthetic dataset for unsupervised learning

연구 분야: Artificial Intelligence

학회: Journal of Computing Sciences in Colleges, Volume 37, Issue 5

When studying algorithms for cluster analysis it is useful to have a variety of datasets for students to experiment with, ranging from low dimensionality to high dimensionality. High dimensional datasets with many elements can be quite large and problematic to store and disseminate. An alternate is to have students generate synthetic datasets for themselves.