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ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 10 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
157
Voted
GFKL
2004
Springer
135views Data Mining» more  GFKL 2004»
15 years 10 months ago
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results
In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through...
Nils Raabe, Karsten Luebke, Claus Weihs
CLUSTER
2004
IEEE
15 years 8 months ago
FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI
As high performance clusters continue to grow in size, the mean time between failure shrinks. Thus, the issues of fault tolerance and reliability are becoming one of the challengi...
Gengbin Zheng, Lixia Shi, Laxmikant V. Kalé
141
Voted
ICDCSW
2007
IEEE
15 years 11 months ago
Object-Swapping for Resource-Constrained Devices
Mobile devices are still memory-constrained when compared to desktop and laptop computers. Thus, in some circumstances, even while occupied by useful objects, some memory must be ...
Luís Veiga, Paulo Ferreira
146
Voted
ADBIS
2000
Springer
91views Database» more  ADBIS 2000»
15 years 8 months ago
Efficient Region Query Processing by Optimal Page Ordering
A number of algorithms of clustering spatial data for reducing the number of disk seeks required to process spatial queries have been developed. One of the algorithms is the scheme...
Daesoo Cho, Bonghee Hong