Incorporating Feature Selection and Clustering Approaches for High-Dimensional Data Reduction.
Been-Chian ChienPublished in: DATA (2014)
Keyphrases
- data reduction
- clustering approaches
- feature selection
- high dimensionality
- high dimensional
- subspace clustering
- dimensionality reduction
- high dimensional data
- clustering algorithm
- feature space
- clustering method
- instance selection
- low dimensional
- k means
- semi supervised
- data compression
- data objects
- document clustering
- classification accuracy
- hierarchical clustering
- nearest neighbor
- text categorization
- data points
- text classification
- support vector
- classification rules
- feature set
- model selection
- microarray
- machine learning
- k nearest neighbor
- singular value decomposition
- feature extraction
- principal component analysis
- face recognition
- data analysis
- neural network
- rough set theory
- multi class
- support vector machine
- knowledge discovery
- multiscale
- pattern recognition