A novel soft subspace clustering algorithm with noise detection for high dimensional datasets.
Elham ChitsazMansoor Zolghadri JahromiPublished in: Soft Comput. (2016)
Keyphrases
- high dimensional datasets
- noise detection
- high dimensional data
- clustering algorithm
- high dimensional
- outlier detection
- data cleaning
- clustering quality
- noise reduction
- low dimensional
- median filter
- noise free
- high dimensionality
- impulse noise
- dimensionality reduction
- k means
- data sets
- feature space
- nearest neighbor
- data clustering
- principal component analysis
- data points
- cluster analysis
- document clustering
- spectral clustering
- fuzzy c means
- concept drift
- color images
- data distribution
- high dimensional spaces
- clustering method
- data mining
- pattern recognition
- fuzzy clustering
- noise level
- input data
- sparse representation
- database