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» A Method for Dynamic Clustering of Data
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ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
15 years 4 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 8 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 11 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
ICCD
2006
IEEE
126views Hardware» more  ICCD 2006»
16 years 3 months ago
Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems
—In this paper we propose the method of task merging and idle period clustering for dynamic power management (DPM) in a real-time system with multiple processing elements. We sho...
Shaobo Liu, Qinru Qiu, Qing Wu
HPDC
2008
IEEE
15 years 6 months ago
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids
This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large...
Marco Pasquali, Ranieri Baraglia, Gabriele Capanni...