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IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
14 years 2 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
IEEEPACT
1998
IEEE
14 years 1 months ago
Parallelization of Benchmarks for Scalable Shared-Memory Multiprocessors
This work identifies practical compiling techniques for scalable shared memory machines. For this, we have focused on experimental studies using a real machine and representative ...
Yunheung Paek, Angeles G. Navarro, Emilio L. Zapat...
ICPP
1996
IEEE
14 years 1 months ago
Scheduling of Wavefront Parallelism on Scalable Shared-memory Multiprocessors
Tiling exploits temporal reuse carried by an outer loop of a loop nest to enhance cache locality. Loop skewing is typically required to make tiling legal. This restricts parallelis...
Naraig Manjikian, Tarek S. Abdelrahman
JASIS
2007
122views more  JASIS 2007»
13 years 8 months ago
Exploiting parallelism to support scalable hierarchical clustering
A distributed memory parallel version of the group average Hierarchical Agglomerative Clustering algorithm is proposed to enable scaling the document clustering problem to large c...
Rebecca Cathey, Eric C. Jensen, Steven M. Beitzel,...
ICPP
2000
IEEE
14 years 1 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary