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NIPS
2001
15 years 8 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
IJCAI
2003
15 years 8 months ago
An Improved Algorithm for Optimal Bin Packing
Given a set of numbers, and a set of bins of fixed capacity, the NP-complete problem of bin packing is to find the minimum number of bins needed to contain the numbers, such that ...
Richard E. Korf
ICASSP
2010
IEEE
15 years 6 months ago
Convergence analysis of consensus-based distributed clustering
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
ALGORITHMICA
2008
83views more  ALGORITHMICA 2008»
15 years 6 months ago
Inferring (Biological) Signal Transduction Networks via Transitive Reductions of Directed Graphs
In this paper we consider the p-ary transitive reduction (TRp) problem where p > 0 is an integer; for p = 2 this problem arises in inferring a sparsest possible (biological) sig...
Réka Albert, Bhaskar DasGupta, Riccardo Don...
IEICET
2006
55views more  IEICET 2006»
15 years 6 months ago
Inserting Points Uniformly at Every Instance
A problem of arranging n points as uniformly as possible, which is equivalent to that of packing n equal and non-overlapping circles in a unit square, is frequently asked. In this ...
Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjam...