Reducing data dimensionality using random projections and fuzzy k-means clustering.
Ch. Aswani KumarPublished in: Int. J. Intell. Comput. Cybern. (2011)
Keyphrases
- random projections
- data dimensionality
- high dimensionality
- principle component analysis
- relative error
- dimensionality reduction
- original data
- dimension reduction
- lower dimensional
- feature selection
- image reconstruction
- high dimensional
- microarray
- high dimensional data
- feature space
- low dimensional
- random sampling
- sparse representation
- principal component analysis
- fuzzy clustering
- k means
- neural network
- cluster analysis
- nearest neighbor
- hash functions
- pattern recognition
- clustering algorithm
- document clustering
- active learning
- image segmentation
- dimensionality reduction methods
- image processing
- data mining