Distance-Based Ensemble Online Classifier with Kernel Clustering.
Joanna JedrzejowiczPiotr JedrzejowiczPublished in: KES-IDT (2015)
Keyphrases
- ensemble learning
- outlier detection
- feature space
- mixed data
- training data
- classifier ensemble
- k means
- support vector
- multiple classifiers
- clustering algorithm
- training set
- feature selection
- clustering method
- ensemble classifier
- decision tree classifiers
- combination of multiple classifiers
- similarity function
- learning algorithm
- clustering procedure
- multiple kernel learning
- final classification
- online learning
- categorical data
- weak learners
- cluster ensemble
- classifier combination
- individual classifiers
- kernel function
- data points
- combining classifiers
- majority voting
- support vector machine
- decision trees
- linear classifiers
- kernel matrix
- feature ranking
- bias variance decomposition
- feature set
- unsupervised learning
- svm classifier
- spectral clustering
- hierarchical clustering
- ensemble methods
- multi class
- random forests
- combining multiple
- random forest
- machine learning
- knn
- cluster analysis
- weak classifiers
- pruning algorithm
- clustering ensemble
- consensus clustering
- feature extraction
- classification algorithm
- euclidean distance
- class labels
- distance measure