A H-K Clustering Algorithm For High Dimensional Data Using Ensemble Learning.
Rashmi PaithankarTidke BharatPublished in: CoRR (2015)
Keyphrases
- ensemble learning
- high dimensional data
- clustering algorithm
- subspace clustering
- dimensionality reduction
- nearest neighbor
- data sets
- high dimensionality
- generalization ability
- ensemble methods
- low dimensional
- high dimensional
- data distribution
- random forest
- data analysis
- feature selection
- input space
- high dimensional datasets
- linear discriminant analysis
- clustering method
- data points
- base classifiers
- lower dimensional
- regression problems
- k means
- concept drift
- prediction accuracy
- unsupervised learning
- feature space
- decision trees
- image processing
- neural network
- database