Multi-classification by categorical features via clustering.
Yevgeny SeldinNaftali TishbyPublished in: ICML (2008)
Keyphrases
- feature vectors
- high dimensionality
- feature space
- classification accuracy
- feature set
- feature extraction
- classification models
- categorical data
- classification method
- classification process
- extracted features
- clustering algorithm
- clustering method
- extracting features
- decision trees
- benchmark datasets
- svm classifier
- feature values
- feature analysis
- pattern recognition
- correspondence analysis
- supervised classification
- class labels
- feature subset
- discriminative features
- unsupervised classification
- feature selection
- unsupervised learning
- support vector machine
- machine learning
- support vector
- additional features
- unsupervised clustering
- k means
- co occurrence
- unsupervised feature selection
- high dimensional data
- feature representation
- feature reduction
- false positives
- text classification
- support vector machine svm
- binary features
- data points
- textural features
- training set
- supervised learning
- image classification
- cluster analysis
- data sets