Boosting margin based distance functions for clustering.
Tomer HertzAharon Bar-HillelDaphna WeinshallPublished in: ICML (2004)
Keyphrases
- distance function
- similarity function
- distance metric
- data points
- dissimilarity measure
- similarity search
- knn
- euclidean distance
- clustering algorithm
- distance computation
- nearest neighbor
- distance measure
- metric space
- knn classification
- clustering method
- k means
- multi class
- data representations
- learning algorithm
- complex objects
- boosting algorithms
- quadratic form
- k nearest neighbor
- spectral clustering
- unlabeled data
- generalization error
- cluster centroids
- input data
- neural network
- databases