Now showing items 1-2 of 2
Towards Theoretical Foundations of Clustering
(University of Waterloo, 2012-07-20)
Clustering is a central unsupervised learning task with a wide variety of applications. Unlike in supervised learning, different clustering algorithms may yield dramatically different outputs for the same input sets. As ...
A Theoretical Study of Clusterability and Clustering Quality
(University of Waterloo, 2008-01-16)
Clustering is a widely used technique, with applications ranging from data mining, bioinformatics and image analysis to marketing, psychology, and city planning. Despite the practical importance of clustering, there is ...