Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule.
Yun LiBao-Liang LuPublished in: VISUAL (2007)
Keyphrases
- principal components
- k nearest neighbor
- feature selection
- knn
- dimensionality reduction
- feature set
- text categorization
- nearest neighbor
- principal component analysis
- text classification
- nearest neighbour
- support vector machine
- variable selection
- support vector machine svm
- multi class
- information gain
- classification method
- knn classifier
- knn algorithm
- input space
- dimension reduction
- classification accuracy
- support vector
- feature space
- distance function
- association rules
- data sets
- hyperplane
- feature subset
- neural network
- classification algorithm
- model selection
- graph construction
- hierarchical document clustering
- feature reduction
- kernel space
- input variables
- linear discriminant analysis
- high dimensional data
- unsupervised learning
- natural language processing
- principal component regression
- binary classification tasks
- data analysis