Feature selection for clustering using instance-based learning by exploring the nearest and farthest neighbors.
Chien-Hsing ChenPublished in: Inf. Sci. (2015)
Keyphrases
- instance based learning
- instance selection
- nearest neighbor
- feature selection
- data points
- unsupervised learning
- clustering algorithm
- rule induction
- knn
- high dimensionality
- high dimensional data
- k nearest neighbor
- machine learning
- k nearest
- text classification
- classification accuracy
- dimensionality reduction
- text categorization
- support vector machine
- feature extraction
- multi class
- high dimensional
- feature set
- model selection
- association rules
- data sets