Classification of high-dimensional data using the Sparse Matrix Transform.
Leonardo R. BachegaCharles A. BoumanPublished in: ICIP (2010)
Keyphrases
- high dimensional data
- high dimensionality
- sparse matrix
- dimension reduction
- low dimensional
- dimensionality reduction
- high dimensional
- nearest neighbor
- data points
- data sets
- subspace clustering
- multivariate temporal data
- manifold learning
- original data
- gene expression data
- similarity search
- pattern recognition
- clustering high dimensional data
- feature space
- random projections
- data analysis
- linear discriminant analysis
- feature extraction
- image classification
- text classification
- training set
- sparse representation
- data distribution
- decision trees
- machine learning
- unsupervised learning
- low rank
- support vector
- missing values
- microarray
- support vector machine
- data mining