Using Clustering for Generating Diversity in Classifier Ensemble.
Hamid ParvinHosein AlizadehBehrouz Minaei-BidgoliPublished in: J. Digit. Content Technol. its Appl. (2009)
Keyphrases
- classifier ensemble
- clustering algorithm
- diversity measures
- ensemble methods
- classification algorithm
- base classifiers
- graph theoretic
- weighted majority voting
- unsupervised learning
- named entity recognition
- concept drifting data streams
- feature extraction
- markov random field
- noisy data
- feature subset
- weight vector