PCS: An Efficient Clustering Method for High-Dimensional Data.
Wei LiCindy X. ChenJie WangPublished in: DMIN (2008)
Keyphrases
- clustering method
- high dimensional data
- subspace clustering
- low dimensional
- high dimensional
- high dimensionality
- dimensionality reduction
- clustering algorithm
- cluster analysis
- data sets
- nearest neighbor
- hierarchical clustering
- clustering high dimensional data
- data points
- k means
- dimension reduction
- cluster structure
- fuzzy c means
- data analysis
- high dimensional spaces
- original data
- document clustering
- similarity search
- manifold learning
- affinity propagation
- clustering result
- similarity measure
- spectral clustering
- missing values
- high dimensional datasets
- gene expression data
- dimensional data
- text data
- principal component analysis
- low rank
- neural network