Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble.
Anirban MukhopadhyayUjjwal MaulikSanghamitra BandyopadhyayPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- majority voting
- fuzzy clustering
- multi objective
- gene selection
- random forests
- ensemble methods
- ensemble classifier
- knn
- support vector machine
- random forest
- support vector machine svm
- evolutionary algorithm
- fuzzy c means
- classifier ensemble
- microarray
- k nearest neighbor
- membership functions
- binary classification
- clustering analysis
- ensemble learning
- objective function
- feature selection
- genetic algorithm
- clustering algorithm
- cluster analysis
- multi class
- supervised learning
- unsupervised learning
- generalization ability
- support vector
- svm classifier
- semi supervised
- machine learning methods
- nearest neighbor
- base classifiers
- decision trees
- data mining techniques
- pattern recognition
- prediction accuracy
- text classifiers
- neural network
- benchmark datasets
- object recognition
- feature space
- classification accuracy
- training set