Classifying negative and positive points by optimal box clustering.
Paolo SerafiniPublished in: Discret. Appl. Math. (2014)
Keyphrases
- positive and negative
- data points
- clustering algorithm
- k means
- clustering method
- cluster centers
- arbitrary shape
- optimal solution
- self organizing maps
- dynamic programming
- closed form
- positive or negative
- data sets
- point sets
- data objects
- outlier detection
- positive data
- automatic classification
- information theoretic
- upper bound
- genetic algorithm