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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 3 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
IJCNN
2000
IEEE
14 years 2 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
IFIP12
2008
13 years 11 months ago
Optimizing Relationships Information in Repertory Grids
The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that c...
Enrique Calot, Paola Britos, Ramón Garc&iac...
CP
2009
Springer
14 years 10 months ago
Constraint-Based Graph Matching
Measuring graph similarity is a key issue in many applications. We propose a new constraint-based modeling language for defining graph similarity measures by means of constraints. ...
Christine Solnon, Vianney le Clément, Yves ...