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ALGORITHMICA
2005
108views more  ALGORITHMICA 2005»
14 years 9 months ago
How Fast Is the k-Means Method?
We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are ...
Sariel Har-Peled, Bardia Sadri
83
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WSC
2007
15 years 10 hour ago
SBatch: a spaced batch means procedure for simulation analysis
We discuss SBatch, a simplified procedure for steady-state simulation analysis that is based on spaced batch means, incorporating many advantages of its predecessorsASAP3 and WAS...
Emily K. Lada, James R. Wilson
NECO
2007
108views more  NECO 2007»
14 years 9 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
SPATIALCOGNITION
2004
Springer
15 years 3 months ago
Isovists as a Means to Predict Spatial Experience and Behavior
Two experiments are presented studying interrelations between spatial properties of environments and both experience and spatial behavior. In order to systematically study such int...
Jan Malte Wiener, Gerald Franz