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» Clustering with Multiple Graphs
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133
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ICML
2007
IEEE
16 years 4 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...
HT
1997
ACM
15 years 8 months ago
Collective Phenomena in Hypertext Networks
A large hypertext net with node-to-node links can be interesting as a system of unities of meaning formed by node clusters, such that nodes in each of them are orderable into a co...
Valery M. Chelnokov, Victoria L. Zephyrova
127
Voted
COMBINATORICS
2006
107views more  COMBINATORICS 2006»
15 years 4 months ago
The Linear Complexity of a Graph
The linear complexity of a matrix is a measure of the number of additions, subtractions, and scalar multiplications required to multiply that matrix and an arbitrary vector. In th...
David L. Neel, Michael E. Orrison
129
Voted
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 9 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
PDP
2006
IEEE
15 years 10 months ago
A Distributed Query Structure to Explore Random Mappings in Parallel
We explore the possibilities to organize a query data structure in the main memories or hard disks of a cluster computer. The query data structure serves to improve the performanc...
Jan Heichler, Jorg Keller