Matching-Pursuits Dissimilarity Measure for Shape-Based Comparison and Classification of High-Dimensional Data.
Raazia MazharPaul D. GaderJoseph N. WilsonPublished in: IEEE Trans. Fuzzy Syst. (2009)
Keyphrases
- high dimensional data
- dissimilarity measure
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- feature space
- nearest neighbor
- dissimilarity representation
- shape recognition
- data analysis
- data points
- similarity search
- low dimensional
- high dimensions
- small sample size
- subspace clustering
- manifold learning
- data sets
- feature extraction
- lower dimensional
- input space
- distance function
- pattern recognition
- nonlinear dimensionality reduction
- clustering high dimensional data
- linear discriminant analysis
- high dimensional spaces
- multivariate temporal data
- support vector
- clustering method
- object recognition
- support vector machine svm
- high dimensional datasets
- text classification
- dimensional data
- image matching
- feature selection
- training set
- distance measure
- training samples
- graph matching
- pattern matching
- class labels
- support vector machine
- principal component analysis
- feature vectors
- dimensionality reduction methods
- decision trees
- machine learning
- neural network