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» Clustering for improved system-level functional partitioning
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ICCAD
1997
IEEE
121views Hardware» more  ICCAD 1997»
13 years 11 months ago
Adaptive methods for netlist partitioning
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
Wray L. Buntine, Lixin Su, A. Richard Newton, Andr...
NCA
2007
IEEE
13 years 7 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
14 years 8 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
CLUSTER
2004
IEEE
13 years 11 months ago
Cluster computing environment supporting single system image
Single system image(SSI) systems have been the mainstay of high-performance computing for many years. SSI requires the integration and aggregation of all types of resources in a c...
Min Choi, DaeWoo Lee, Seung Ryoul Maeng
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis