A subspace decision cluster classifier for text classification.
Yan LiEdward HungKorris Fu-Lai ChungPublished in: Expert Syst. Appl. (2011)
Keyphrases
- text classification
- text classifiers
- feature selection
- classification method
- subspace clustering
- labeled training data
- feature reduction
- feature space
- hierarchical classification
- naive bayes classifier
- text categorization
- clustering procedure
- naive bayes
- subspace clusters
- training documents
- decision making
- multi label classification
- dimensionality reduction
- knn
- distributional clustering
- multi label
- classification decisions
- training data
- bag of words
- clustering algorithm
- k nearest neighbor
- text documents
- classification algorithm
- n gram
- test sample
- classify documents
- decision rules
- labeled and unlabeled data
- data points
- high dimensional
- text data
- machine learning
- majority voting rule
- support vector
- low dimensional
- feature set
- principal component analysis
- support vector machine
- decision trees
- neural network
- random forest
- linear subspace
- class labels
- high dimensional data
- training samples
- unlabeled data
- labeled data
- feature extraction
- positive and unlabeled examples