A New Approach for Cluster Detection for Large Datasets with High Dimensionality.
Matthew GebskiRaymond K. WongPublished in: DaWaK (2005)
Keyphrases
- high dimensionality
- high dimensional datasets
- high dimensional
- high dimensional data
- dimensionality reduction
- feature selection
- feature space
- subspace clustering
- microarray
- small number of samples
- data dimensionality
- gene expression data
- small sample size
- microarray datasets
- feature selection and classification
- clustering approaches
- detection algorithm
- data points
- database
- low dimensionality
- class noise
- clustering algorithm
- pattern recognition
- object detection
- dimension reduction
- feature ranking
- highly correlated
- high dimensional spaces
- principal component analysis
- feature selection algorithms
- neural network