A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data.
Juan WangLi-Hong WangTian-Jing QiaoShasha YuanPublished in: BIBM (2022)
Keyphrases
- spectral clustering
- clustering method
- input data
- data sets
- affinity matrix
- high order
- k means
- pairwise
- clustering algorithm
- unsupervised learning
- data analysis
- missing data
- similarity matrix
- data points
- graph laplacian
- multidimensional scaling
- high dimensional data
- small number
- training data
- data clustering
- image segmentation
- low rank
- sample size
- least squares