A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering.
Sabri BoutemedjetNizar BouguilaDjemel ZiouPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- data clustering
- high dimensional
- feature extraction
- dimensionality reduction
- unsupervised learning
- high dimensional data
- cluster analysis
- dimension reduction
- feature space
- clustering algorithm
- k means
- competitive learning
- low dimensional
- deterministic annealing
- exploratory data analysis
- linear discriminant analysis
- feature vectors
- spectral clustering
- manifold learning
- high dimensionality
- principal component analysis
- preprocessing
- feature selection
- pattern recognition
- nearest neighbor
- self organizing maps
- active learning
- similarity measure
- clustering ensemble
- real world