Robust clustering algorithm for high dimensional data classification based on multiple supports.
Benson S. Y. LamHong YanPublished in: IJCNN (2008)
Keyphrases
- high dimensional data
- high dimensionality
- subspace clustering
- high dimensional
- dimension reduction
- clustering algorithm
- dimensionality reduction
- low dimensional
- nearest neighbor
- small sample size
- regression problems
- pattern recognition
- clustering high dimensional data
- data sets
- data analysis
- feature space
- multivariate temporal data
- high dimensional spaces
- high dimensions
- machine learning
- classification algorithm
- high dimensional feature spaces
- data points
- text classification
- input space
- linear discriminant analysis
- high dimensional datasets
- feature selection
- database
- low rank
- training set
- similarity search
- clustering method
- feature extraction
- text clustering
- computer vision
- high dimensional data sets
- sparse representation
- feature vectors
- support vector machine svm
- neural network
- manifold learning
- support vector
- support vector machine
- data clustering
- pairwise
- knn