Iterative random projections for high-dimensional data clustering.
Ângelo CardosoAndreas WichertPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- data clustering
- random projections
- high dimensional
- dimensionality reduction
- low dimensional
- dimension reduction
- unsupervised learning
- high dimensionality
- cluster analysis
- high dimensional data
- principal component analysis
- clustering algorithm
- sparse representation
- k means
- feature space
- original data
- image reconstruction
- similarity search
- data points
- random sampling
- singular value decomposition
- document clustering
- multi dimensional
- hash functions
- feature extraction
- computer vision
- machine learning
- linear discriminant analysis
- pattern recognition
- neural network