Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Reduction.
Dengyao MoSamuel H. HuangPublished in: IEEE Trans. Knowl. Data Eng. (2012)
Keyphrases
- intrinsic dimensionality
- intrinsic dimension
- dimensionality reduction
- high dimensional data
- high dimensional
- diffusion maps
- vector space
- principal component analysis
- noisy data
- manifold learning
- pattern recognition
- dimension reduction
- feature space
- low dimensional
- feature extraction
- linear discriminant analysis
- feature selection
- principal components
- sparse representation
- unsupervised learning
- probability density
- lower dimensional
- dimensionality reduction methods
- data points
- singular value decomposition
- euclidean distance
- image classification
- high dimensional spaces
- singular values
- least squares
- computer vision