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» Approximating min-max k-clustering
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CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
14 years 25 days ago
Min-Max predictive control of a pilot plant using a QP approach
— The practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by ...
Jorn Klaas Gruber, Daniel R. Ramírez, Teodo...
ENGL
2007
148views more  ENGL 2007»
13 years 6 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 6 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
CJ
2010
128views more  CJ 2010»
13 years 6 months ago
A Self-Stabilizing O(k)-Time k-Clustering Algorithm
A silent self-stabilizing asynchronous distributed algorithms is given for constructing a kdominating set, and hence a k-clustering, of a connected network of processes with uniqu...
Ajoy Kumar Datta, Lawrence L. Larmore, Priyanka Ve...