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ICML
2007
IEEE
14 years 8 months ago
Quantum clustering algorithms
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
Esma Aïmeur, Gilles Brassard, Sébastie...
BMCBI
2007
163views more  BMCBI 2007»
13 years 7 months ago
A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluati
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
ATAL
2003
Springer
14 years 1 months ago
A method for decentralized clustering in large multi-agent systems
This paper examines a method of clustering within a fully decentralized multi-agent system. Our goal is to group agents with similar objectives or data, as is done in traditional ...
Elth Ogston, Benno J. Overeinder, Maarten van Stee...
ICPP
2000
IEEE
14 years 5 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
CLUSTER
2003
IEEE
14 years 1 months ago
Application-Bypass Reduction for Large-Scale Clusters
Process skew is an important factor in the performance of parallel applications, especially in large-scale clusters. Reduction is a common collective operation which, by its natur...
Adam Wagner, Darius Buntinas, Dhabaleswar K. Panda...