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PRL
2008
135views more  PRL 2008»
15 years 4 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
CEC
2007
IEEE
15 years 11 months ago
Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms
— Several multi-objective evolutionary algorithms compare the hypervolumes of different sets of points during their operation, usually for selection or archiving purposes. The ba...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
ICPADS
2007
IEEE
15 years 11 months ago
Access point selection algorithms for maximizing throughputs in wireless LAN environment
In wireless LAN technology, access point selection at each station is a critical problem in order to obtain satisfactory throughputs. The current protocol for access point selecti...
Akihiro Fujiwara, Yasuhiro Sagara, Masahiko Nakamu...
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
15 years 10 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
AINA
2005
IEEE
15 years 10 months ago
A Biologically Inspired QoS Routing Algorithm for Mobile Ad Hoc Networks
— This paper presents an Emergent Ad hoc Routing Algorithm with QoS provision (EARA-QoS). This ad hoc QoS routing algorithm is based on a swarm intelligence inspired routing infr...
Zhenyu Liu, Marta Z. Kwiatkowska, Costas C. Consta...