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STOC
2003
ACM
140views Algorithms» more  STOC 2003»
16 years 7 months ago
Approximation schemes for clustering problems
We present a general approach for designing approximation algorithms for a fundamental class of geometric clustering problems in arbitrary dimensions. More specifically, our appro...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
IPPS
2008
IEEE
16 years 1 months ago
An MPI tool for automatically discovering the switch level topologies of Ethernet clusters
We present an MPI topology discovery tool for homogeneous Ethernet switched clusters. Unlike existing Ethernet topology discovery methods that rely on Simple Network Management Pr...
Joshua Lawrence, Xin Yuan
EMMCVPR
2007
Springer
16 years 1 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
CIBCB
2005
IEEE
16 years 13 days ago
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
Nora Speer, Holger Fröhlich, Christian Spieth...
IDEAL
2005
Springer
16 years 10 days ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan