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MLDM
2005
Springer
15 years 3 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
15 years 6 months ago
Clustering for processing rate optimization
Clustering (or partitioning) is a crucial step between logic synthesis and physical design in the layout of a large scale design. A design verified at the logic synthesis level m...
Chuan Lin, Jia Wang, Hai Zhou
SC
2005
ACM
15 years 3 months ago
The MHETA Execution Model for Heterogeneous Clusters
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...
Mario Nakazawa, David K. Lowenthal, Wenduo Zhou
JCDL
2005
ACM
116views Education» more  JCDL 2005»
15 years 3 months ago
Name disambiguation in author citations using a K-way spectral clustering method
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliogra...
Hui Han, Hongyuan Zha, C. Lee Giles