Keyphrases
- dimensionality reduction
- high dimensionality
- feature extraction
- pattern recognition
- pattern recognition and machine learning
- high dimensional data
- unsupervised learning
- classification accuracy
- feature space
- dimensionality reduction methods
- feature selection
- clustering algorithm
- unsupervised classification
- supervised classification
- machine learning
- data representation
- classification scheme
- unsupervised clustering
- high dimensional
- principal components analysis
- text classification
- data points
- classification algorithm
- automatic classification
- input space
- pattern classification
- data clustering
- clustering method
- classification method
- data sets
- principal component analysis
- supervised learning
- nearest neighbor
- k means
- support vector
- decision trees
- microarray
- self organizing maps
- density estimation
- support vector machine svm
- feature vectors
- supervised dimensionality reduction