The Unification and Assessment of Multi-Objective Clustering Results of Categorical Datasets with H-Confidence Metric.
Onur Can SertKayhan DursunTansel ÖzyerJamal JidaReda AlhajjPublished in: J. Univers. Comput. Sci. (2012)
Keyphrases
- multi objective
- categorical data
- optimization algorithm
- multi objective optimization
- k means
- categorical attributes
- evolutionary algorithm
- high dimensional datasets
- clustering approaches
- distance metric
- clustering method
- data mining tasks
- data clustering
- synthetic and real datasets
- hierarchical clustering
- particle swarm optimization
- higher order
- clustering algorithm
- synthetic datasets
- multiple objectives
- confidence measure
- cluster analysis
- information theoretic
- unsupervised learning
- conflicting objectives
- similarity metric
- multi objective optimization problems
- spectral clustering
- outlier detection
- distance function
- genetic algorithm
- data mining
- nsga ii
- fuzzy clustering
- bi objective
- similarity function
- data sets
- data points