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» Limits of Spectral Clustering
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109
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CLUSTER
2006
IEEE
15 years 4 months ago
Lightweight I/O for Scientific Applications
Today's high-end massively parallel processing (MPP) machines have thousands to tens of thousands of processors, with next-generation systems planned to have in excess of one...
Ron Oldfield, Lee Ward, Rolf Riesen, Arthur B. Mac...
92
Voted
VIIP
2001
15 years 2 months ago
Parallel Detection of Closed Streamlines in Planar Flows
Closed streamlines are an integral part of vector field topology, since they behave like sources respectively sinks but are often neither considered nor detected. If a streamline ...
Thomas Wischgoll, Gerik Scheuermann, Hans Hagen
87
Voted
NIPS
2003
15 years 2 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
115
Voted
CGF
2010
153views more  CGF 2010»
15 years 24 days ago
Localized Delaunay Refinement for Sampling and Meshing
The technique of Delaunay refinement has been recognized as a versatile tool to generate Delaunay meshes of a variety of geometries. Despite its usefulness, it suffers from one la...
Tamal K. Dey, Joshua A. Levine, A. Slatton
98
Voted
IPL
2000
76views more  IPL 2000»
15 years 15 days ago
Deterministic small-world communication networks
Many real life networks, including the World Wide Web, electric power grids, and social networks, are small-world networks. The two distinguishing characteristics of small-world n...
Francesc Comellas, Javier Ozón, Joseph G. P...