Clusterability and Clustering of Images and Other "Real" High-Dimensional Data.
Tarun YellamrajuMireille BoutinPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- high dimensional data
- high dimensionality
- visual data
- low dimensional
- dimensionality reduction
- high dimensions
- high dimensional datasets
- subspace clustering
- data points
- high dimensional
- clustering high dimensional data
- nearest neighbor
- image data
- data analysis
- input data
- input image
- data sets
- dimension reduction
- image collections
- similarity search
- input space
- manifold learning
- text data
- nonlinear dimensionality reduction
- low rank
- linear discriminant analysis
- feature extraction
- face recognition
- original data
- sparse representation
- image classification
- geometric structure
- image retrieval
- high dimensional spaces
- high dimensional data sets
- multi dimensional
- lower dimensional
- dimensional data
- decision trees
- underlying manifold
- computer vision