Unsupervised Clustering: A Fast Scalable Method for Large Datasets
Daniel L. Boley, Vivian Borst · University of Minnesota Digital Conservancy (University of Minnesota) · 1999
Fast and eective unsupervised clustering is a fundamental tool in unsupervised learning. Here is a new method to explore large datasets that enjoys many favorable properties. It is fast and eective, and produces a hierarchical structure on the under-lying dataset, without using a training set. It also yields auxiliary information on the signi cance of the dierent attributes. 1