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87
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ICPR
2002
IEEE
15 years 5 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
ANSS
2002
IEEE
15 years 5 months ago
Gang Scheduling Performance on a Cluster of Non-Dedicated Workstations
Clusters of workstations have emerged as a costeffective solution to high performance computing problem. To take advantage of any opportunities, however, effective scheduling tech...
Helen D. Karatza
106
Voted
TKDE
2002
133views more  TKDE 2002»
15 years 4 days ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
99
Voted
TKDE
2002
127views more  TKDE 2002»
15 years 4 days ago
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Siva...
95
Voted
TSE
2002
96views more  TSE 2002»
15 years 4 days ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian