A Clustering Algorithm of High-Dimensional Data Based on Sequential Psim Matrix and Differential Truncation.
Gongming WangWenfa LiWeizhi XuPublished in: ICA3PP (2) (2018)
Keyphrases
- high dimensional data
- clustering algorithm
- low rank
- subspace clustering
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensionality
- low dimensional
- original data
- data points
- high dimensions
- data analysis
- dimension reduction
- similarity search
- high dimensional spaces
- data sets
- sparse representation
- input space
- linear discriminant analysis
- high dimensional datasets
- singular value decomposition
- clustering high dimensional data
- nonlinear dimensionality reduction
- dimensional data
- lower dimensional
- manifold learning
- k means
- fuzzy c means
- text data
- data clustering
- missing values
- machine learning
- cluster analysis
- small sample size
- high dimensional data sets
- image processing
- feature extraction
- nearest neighbor search
- subspace learning
- neural network
- database