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CEC
2008
IEEE
14 years 5 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
14 years 2 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....
FLAIRS
2004
14 years 7 days ago
Dynamic Agent-Ordering and Nogood-Repairing in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...
Lingzhong Zhou, John Thornton, Abdul Sattar
AAAI
2000
14 years 6 days ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
AAAI
2007
14 years 1 months ago
Best-First AND/OR Search for Graphical Models
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
Radu Marinescu 0002, Rina Dechter