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» An Experiment with Distance Measures for Clustering
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GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
15 years 3 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
ICPR
2008
IEEE
15 years 4 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
14 years 9 months ago
The Hausdorff Voronoi Diagram of Point Clusters in the Plane
We study the Hausdorff Voronoi diagram of point clusters in the plane, a generalization of Voronoi diagrams based on the Hausdorff distance function. We derive a tight combinatori...
Evanthia Papadopoulou
CEC
2007
IEEE
15 years 4 months ago
A simple genetic algorithm for music generation by means of algorithmic information theory
— Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classi...
Manuel Alfonseca, Manuel Cebrián, Alfonso O...
TCSV
2010
14 years 4 months ago
Face and Human Gait Recognition Using Image-to-Class Distance
We propose a new distance measure for face recognition and human gait recognition. Each probe image (a face image or an average human silhouette image) is represented as a set of ...
Yi Huang, Dong Xu, Tat-Jen Cham