The DRk-M for Clustering Categorical Datasets With Uncertainty.
Semeh Ben SalemSami NaoualiZied ChtourouPublished in: IEEE Intell. Syst. (2021)
Keyphrases
- categorical data
- categorical attributes
- synthetic datasets
- clustering algorithm
- k means
- clustering approaches
- clustering method
- cluster analysis
- data mining tasks
- high dimensional datasets
- data sets
- hierarchical clustering
- outlier detection
- information theoretic
- benchmark datasets
- synthetic and real datasets
- data objects
- spectral clustering
- uncertain data
- gene expression profiles
- data clustering
- large scale data sets
- numerical attributes
- database
- synthetic and real life datasets
- document clustering
- data mining algorithms
- self organizing maps
- attribute values
- unsupervised learning
- data points
- decision trees
- feature selection