Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
In this paper a novel clustering algorithm is proposed, namely Variational Multilevel Mesh Clustering (VMLC). The algorithm incorporates the advantages of both hierarchical and va...
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...