Andris Doçaj

Speeding Up Unsupervised Learning Through Early Stopping

2023

Ever-increasing amounts of data make labeling of datasets uneconomic. Unsupervised learning, specifically the K-Means family of clustering algorithms, provide a pragmatic way of dealing with sizable quantities of unlabeled data. The bisecting K-Means algorithm with …