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GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
14 years 2 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...
ICCS
2007
Springer
14 years 2 months ago
Density Based Fuzzy Membership Functions in the Context of Geocomputation
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
Victor Sousa Lobo, Fernando Bação, M...
NIPS
2007
13 years 10 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
TKDE
2010
251views more  TKDE 2010»
13 years 7 months ago
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
—We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
14 years 3 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...