179 search results - page 4 / 36 » Parallel k h-Means Clustering for Large Data Sets |
142
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IPPS
2006
IEEE
15 years 12 months ago
2006
IEEE
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
201
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OSDI
2004
ACM
16 years 6 months ago
2004
ACM
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
181
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BMCBI
2010
15 years 6 months ago
2010
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
180
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STACS
2007
Springer
16 years 2 days ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
156
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TVCG
2010
15 years 4 months ago
2010
—We present a parallel algorithm for k-nearest neighbor graph construction that uses Morton ordering. Experiments show that our approach has the following advantages over existin...