Robust Dimension Reduction for Clustering With Local Adaptive Learning.
Xiao-Dong WangRung-Ching ChenZhi-qiang ZengChaoqun HongFei YanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- dimension reduction
- adaptive learning
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- high dimensionality
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- clustering algorithm
- learning objects
- singular value decomposition
- clustering method
- k means
- linear discriminant analysis
- learning environment
- feature selection
- e learning
- concept maps
- learning resources
- dimensionality reduction
- feature space
- data points
- image processing
- data analysis
- data sets
- image segmentation
- association rules
- preprocessing
- pattern recognition