179 search results - page 15 / 36 » Parallel k h-Means Clustering for Large Data Sets |
OSDI
2008
ACM
14 years 1 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
IJHPCA
2010
13 years 9 months ago
2010
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
IPPS
1999
IEEE
14 years 3 months ago
1999
IEEE
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
IPPS
2008
IEEE
14 years 5 months ago
2008
IEEE
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
ICPR
2002
IEEE
14 years 3 months ago
2002
IEEE
Testing for uniformity of multivariate data is the initial step in exploratory pattern analysis. We propose a new uniformity testing method, which first computes the maximum (sta...