Now showing items 1-2 of 2
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 ...
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 ...