Fast and robust K-means clustering via feature learning on high-dimensional data.
Xiao-Dong WangRung-Ching ChenFei YanPublished in: iCAST (2017)
Keyphrases
- high dimensional data
- high dimensional
- low dimensional
- data sets
- nearest neighbor
- data analysis
- high dimensions
- data points
- dimensionality reduction
- high dimensionality
- subspace clustering
- input space
- original data
- learning algorithm
- database
- dimension reduction
- real world
- data structure
- input data
- variable selection
- subspace learning
- clustering algorithm
- clustering high dimensional data