Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions.
Yongguang BaoNaohiro IshiiXiaoyong DuPublished in: IDEAL (2004)
Keyphrases
- combining multiple
- distance function
- k nearest neighbor
- knn
- multiple classifiers
- k nearest neighbour
- nearest neighbor
- individual classifiers
- combining classifiers
- knn classifier
- classification algorithm
- majority voting
- fusion methods
- knn classification
- text categorization
- nearest neighbor classification
- nearest neighbour
- feature selection
- similarity search
- euclidean distance
- training set
- metric space
- distance metric
- support vector machine
- binary classification tasks
- edit distance
- distance computation
- metric learning
- neural network
- training data
- support vector
- input space
- distance measure
- text classification
- data points
- high dimensional
- multi step
- class probability estimation
- naive bayes
- feature space
- decision trees
- high dimensional data