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» Clustering with the Connectivity Kernel
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CLUSTER
2008
IEEE
14 years 1 months ago
DLM: A distributed Large Memory System using remote memory swapping over cluster nodes
Abstract—Emerging 64bitOS’s supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connect...
Hiroko Midorikawa, Motoyoshi Kurokawa, Ryutaro Him...
CVPR
2007
IEEE
14 years 9 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
IPPS
2009
IEEE
14 years 2 months ago
Parallel solvers for dense linear systems for heterogeneous computational clusters
This paper describes the design and the implementation of parallel routines in the Heterogeneous ScaLAPACK library that solve a dense system of linear equations. This library is w...
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro...
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 4 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 1 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali