Effective feature selection using feature vector graph for classification.
Guodong ZhaoYan WuFuqiang ChenJunming ZhangJing BaiPublished in: Neurocomputing (2015)
Keyphrases
- feature vectors
- feature selection
- feature set
- feature space
- feature extraction
- classification accuracy
- graph classification
- text classification
- support vector machine
- support vector
- machine learning
- svm classifier
- model selection
- feature selection algorithms
- classification models
- accurate classification
- texture features
- mutual information
- pattern recognition
- text categorization
- fold cross validation
- gabor filters
- irrelevant features
- class separability
- euclidean distance
- unsupervised learning
- decision trees
- multi class
- random walk
- classification rate
- similarity measure
- image features
- graph theory
- feature subset
- dimension reduction
- directed graph
- classification performances
- support vector classification
- feature selection and classification
- color and texture information
- wrapper feature selection
- conditional mutual information
- feature ranking
- graph mining
- classification method
- classification algorithm
- image classification
- distance measure
- dimensionality reduction
- supervised learning
- data points
- image processing
- learning algorithm