Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
A corporate portal supports a community of users on cohesively managing a shared set of resources. Such management should also include social tagging, i.e. the practice of collabor...
We consider four problems on distance estimation and object location which share the common flavor of capturing global information via informative node labels: low-stretch routin...