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EOR
2007
110views more  EOR 2007»
15 years 4 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
COMGEO
2004
ACM
15 years 4 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
IAT
2009
IEEE
15 years 11 months ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...
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BC
2005
77views more  BC 2005»
15 years 4 months ago
Motion repulsion arises from stimulus statistics when analyzed with a clustering algorithm
Motion repulsion is the perceived enlargement of the angle between the directions of motion of two transparently moving patterns. An explanation of this illusion has long been soug...
Alireza S. Mahani, Anders E. Carlsson, Ralf Wessel
EMSOFT
2008
Springer
15 years 6 months ago
A generalized static data flow clustering algorithm for mpsoc scheduling of multimedia applications
In this paper, we propose a generalized clustering approach for static data flow subgraphs mapped onto individual processors in Multi-Processor System on Chips (MPSoCs). The goal ...
Joachim Falk, Joachim Keinert, Christian Haubelt, ...