A dimension reduction technique for K-Means clustering algorithm.
Partha S. BishnuVandana BhattacherjeePublished in: RAIT (2012)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- singular value decomposition
- k means
- variable selection
- clustering algorithm
- feature space
- linear discriminant analysis
- high dimensionality
- feature selection
- manifold learning
- random projections
- low dimensional
- discriminative information
- data mining and machine learning
- high dimensional data analysis
- high dimensional data
- cluster analysis
- preprocessing
- partial least squares
- unsupervised learning
- dimensionality reduction
- pattern recognition
- pose estimation
- data mining
- image data
- probabilistic model
- feature vectors
- sparse metric learning