Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification.
Ángela BlancoManuel Martín-MerinoJavier De Las RivasPublished in: PRIB (2007)
Keyphrases
- training set
- training samples
- multiple classifiers
- ensemble classifier
- optimum path forest
- classifier ensemble
- majority voting
- final classification
- decision trees
- classification algorithm
- multiple classifier systems
- accurate classifiers
- classification systems
- small sample
- individual classifiers
- classification models
- classification method
- training data
- machine learning methods
- feature selection
- classifier combination
- support vector
- decision tree classifiers
- decision boundary
- class labels
- support vector machine
- classification process
- ensemble learning
- ensemble classification
- combining classifiers
- extracted features
- classification rate
- data sets
- classification accuracy
- base classifiers
- probabilistic classifiers
- svm classifier
- imbalanced data
- concept drifting data streams
- supervised learning
- feature set
- training examples
- feature extraction
- supervised classification
- multi category
- nearest neighbor classifier
- weak classifiers
- classifier fusion
- unlabeled samples
- random forest
- ensemble pruning
- multi class
- binary classification problems
- trained classifiers
- feature space
- machine learning algorithms
- feature vectors
- accurate classification
- weak learners
- ensemble methods
- classification decisions
- random forests
- roc curve
- training dataset
- binary classifiers
- minority class
- multiclass classification