Robust k-subspace discriminant clustering.
Chun-Na LiYuan-Hai ShaoYan-Ru GuoZhen WangZhi-Min YangPublished in: Appl. Soft Comput. (2019)
Keyphrases
- principal component analysis
- subspace clustering
- clustering method
- high dimensional data
- clustering algorithm
- feature extraction
- low dimensional
- k means
- data sets
- subspace analysis
- hierarchical clustering
- clustering high dimensional data
- locality preserving projections
- parameter free
- computationally efficient
- unsupervised learning
- computer vision
- outlier detection
- cluster analysis
- categorical data
- subspace learning
- dimensionality reduction
- data points
- high dimensional
- rank minimization