CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering.
Xiangrui ZengHongyu ZhengPublished in: CoRR (2019)
Keyphrases
- k means
- clustering algorithm
- data clustering
- hierarchical clustering
- clustering method
- rough k means
- cluster analysis
- high dimensional
- cluster centers
- unsupervised clustering
- clustering approaches
- clustering quality
- expectation maximization
- fuzzy k means
- clustering framework
- clustering result
- feature selection
- instance level constraints
- text clustering
- constrained clustering
- high dimension
- subspace clustering
- spectral clustering
- microarray data
- document clustering
- cluster structure
- hierarchical agglomerative
- initial cluster centers
- data points
- fuzzy clustering algorithm
- agglomerative hierarchical clustering
- bisecting k means
- clustering analysis
- similarity measure
- support vector
- density based clustering algorithm
- partitional clustering
- intra cluster
- unsupervised feature selection
- density based clustering
- dimensionality reduction
- low dimensional
- high dimensionality
- similarity matrix