Dimensionality Reduction with Unsupervised Feature Selection and Applying Non-Euclidean Norms for Classification Accuracy.
Amit SaxenaJohn WangPublished in: Int. J. Data Warehous. Min. (2010)
Keyphrases
- unsupervised feature selection
- dimensionality reduction
- dealing with high dimensional data
- feature selection
- classification accuracy
- feature space
- euclidean distance
- feature subset
- high dimensional
- high dimensionality
- high dimensional data
- manifold learning
- feature extraction
- low dimensional
- data clustering
- unsupervised learning
- linear discriminant analysis
- principal component analysis
- data representation
- data points
- feature set
- text classification
- pattern recognition
- singular value decomposition
- euclidean space
- training data
- data sets
- raw data
- sparse representation
- similarity measure
- knn
- artificial neural networks
- support vector