Reduct and Variance Based Clustering of High Dimensional Dataset.
Dharmveer Singh RajputPramod Kumar SinghMahua BhattacharyaPublished in: ICDEM (2010)
Keyphrases
- high dimensional
- high dimensional datasets
- high dimensional data
- high dimensionality
- data points
- clustering method
- clustering algorithm
- decision rules
- benchmark datasets
- synthetic datasets
- low dimensional
- rough sets
- dimensionality reduction
- hierarchical clustering
- k means
- similarity search
- high dimensional data sets
- sparse data
- anomaly detection
- outlier detection
- information theoretic
- rough set theory
- feature space
- data clustering
- high dimensional spaces
- metric space
- multi dimensional
- face recognition
- high dimension
- unsupervised learning
- pattern recognition
- subspace clustering
- categorical data
- fuzzy clustering
- data sets
- gene expression data
- nearest neighbor