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» Limits of Spectral Clustering
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96
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ISMB
1993
15 years 2 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
110
Voted
CLUSTER
2008
IEEE
15 years 24 days ago
Benchmarking the effects of operating system interference on extreme-scale parallel machines
We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the no...
Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Su...
DKE
2007
115views more  DKE 2007»
15 years 20 days ago
An improved methodology on information distillation by mining program source code
This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semiautomated software maintenance and comprehension and provide practi...
Yiannis Kanellopoulos, Christos Makris, Christos T...
97
Voted
ICPR
2010
IEEE
14 years 10 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng
153
Voted
CLUSTER
2011
IEEE
14 years 16 days ago
Achieving Scalable Parallelization for the Hessenberg Factorization
—Much of dense linear algebra has been successfully blocked to concentrate the majority of its time in the Level 3 BLAS, which are not only efficient for serial computation, but...
Anthony M. Castaldo, R. Clint Whaley