rCOSA: A Software Package for Clustering Objects on Subsets of Attributes.
Maarten M. KampertJacqueline J. MeulmanJerome H. FriedmanPublished in: J. Classif. (2017)
Keyphrases
- software package
- data objects
- open source
- attribute values
- similar objects
- web objects
- software packages
- user friendly
- density based clustering algorithm
- clustering method
- d objects
- self organizing maps
- cross platform
- attributed graphs
- similar patterns
- individual objects
- spectral clustering
- hierarchical clustering
- multiple objects
- categorical data
- symbolic regression
- high similarity
- homogeneous groups
- k means
- clustering algorithm
- feature values
- arbitrary shape
- cluster analysis
- image regions
- moving objects
- object recognition
- object types
- case study
- real world
- dissimilarity matrix
- data sets