Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset.
Hércules Antônio do PradoPaulo Martins EngelHomero Chaib FilhoPublished in: Rough Sets and Current Trends in Computing (2002)
Keyphrases
- meaningful clusters
- clustering algorithm
- rough sets
- data points
- microarray data analysis
- rough sets theory
- synthetic datasets
- clustering method
- subspace clusters
- rough set theory
- microarray
- decision rules
- cluster analysis
- k means
- self organizing maps
- greedy algorithm
- outlier detection
- knowledge discovery
- neural network
- unsupervised learning
- data clustering
- low dimensional
- data streams
- feature selection