Using k-Nearest Neighbor and Feature Selection as an Improvement to Hierarchical Clustering.
Phivos MylonasManolis WallaceStefanos D. KolliasPublished in: SETN (2004)
Keyphrases
- hierarchical clustering
- k nearest neighbor
- feature selection
- knn
- text categorization
- nearest neighbor
- support vector machine
- text classification
- clustering method
- classification method
- classification algorithm
- clustering algorithm
- knn algorithm
- machine learning
- knn classifier
- single linkage
- feature extraction
- multi class
- distance function
- feature set
- k means
- feature space
- feature reduction
- hierarchical document clustering
- hierarchical clustering algorithms
- hierarchical clustering methods
- hierarchical clustering algorithm
- k nearest neighbour
- multi task
- information gain
- feature subset
- naive bayes
- dimensionality reduction
- classification accuracy
- graph construction
- unsupervised learning
- model selection
- partitional clustering
- support vector
- binary classification tasks
- training data