Clustering feature vectors with mixed numerical and categorical attributes.
Roelof K. BrouwerPublished in: Int. J. Comput. Intell. Syst. (2008)
Keyphrases
- numerical and categorical attributes
- feature vectors
- numerical attributes
- heterogeneous data
- linear models
- categorical attributes
- structured data
- database
- categorical data
- numerical data
- clustering method
- euclidean distance
- association rules
- rule induction
- databases
- feature space
- clustering algorithm
- data integration
- k means
- feature extraction
- machine learning
- data mining
- linear model
- unsupervised learning
- data points
- subgroup discovery