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» Scaling Clustering Algorithms to Large Databases
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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 4 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
15 years 10 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
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 7 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
120
Voted
CLUSTER
2002
IEEE
15 years 6 months ago
Algorithmic Mechanism Design for Load Balancing in Distributed Systems
Computational Grids are large scale computing system composed of geographically distributed resources (computers, storage etc.) owned by self interested agents or organizations. T...
Daniel Grosu, Anthony T. Chronopoulos
234
Voted
ICDE
2003
IEEE
193views Database» more  ICDE 2003»
16 years 3 months ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...