CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality.
Sangdi LinBahareh AzarnoushGeorge C. RungerPublished in: IEEE Trans. Knowl. Data Eng. (2018)
Keyphrases
- high dimensionality
- high dimensional datasets
- clustering algorithm
- feature selection
- high dimensional
- dimensionality reduction
- high dimensional data
- microarray
- feature space
- imbalanced data
- data reduction
- feature ranking
- subspace clustering
- dimension reduction
- microarray datasets
- small sample size
- gene expression data
- small number of samples
- class imbalance
- data dimensionality
- neural network
- class noise
- clustering method
- categorical attributes
- feature selection and classification
- learning algorithm
- k means
- feature selection algorithms
- training set
- accurate classifiers
- support vector machine
- training data
- microarray data
- clustering ensemble
- sampling methods
- class distribution
- noisy data
- data points
- data structure
- machine learning
- data mining