Rough Set-Based Clustering Utilizing Probabilistic Memberships.
Seiki UbukataHiroki KatoAkira NotsuKatsuhiro HondaPublished in: J. Adv. Comput. Intell. Intell. Informatics (2018)
Keyphrases
- cluster analysis
- clustering algorithm
- fuzzy clustering
- data points
- clustering method
- k means
- information theoretic
- probabilistic model
- rough sets
- data clustering
- rough set theory
- categorical data
- unsupervised learning
- hierarchical clustering
- data driven
- self organizing maps
- minimum message length
- dissimilarity measure
- clustering analysis
- real world
- outlier detection
- high dimensional data
- generative model
- dimensionality reduction
- bayesian networks
- website
- feature selection