Online incremental clustering with distance metric learning for high dimensional data.
Shogo OkadaToyoaki NishidaPublished in: IJCNN (2011)
Keyphrases
- high dimensional data
- distance metric learning
- nonlinear dimensionality reduction
- incremental clustering
- dimensionality reduction
- metric learning
- distance metric
- nearest neighbor
- low dimensional
- high dimensional
- data points
- manifold learning
- data sets
- hierarchical clustering
- data analysis
- concept drift
- data distribution
- similarity search
- linear discriminant analysis
- dimension reduction
- sparse representation
- image classification
- clustering algorithm
- principal component analysis
- input space
- dimensional data
- multi dimensional
- dimensionality reduction methods
- semi supervised
- pattern recognition
- image processing
- pairwise
- knn
- low rank
- input data
- similarity measure