Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery.
Jian LiuYuhu ChengXuesong WangXiaoluo CuiYi KongJunping DuPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- pattern discovery
- subspace clustering
- low rank
- high dimensional data
- rank minimization
- data analysis
- trace norm
- affinity matrix
- minimization problems
- high dimensional
- pattern mining
- high order
- association rule mining
- high dimensionality
- nearest neighbor
- dimensionality reduction
- matrix completion
- data mining
- data sets
- sequential patterns
- convex optimization
- data points
- complex data
- linear combination
- higher order
- graph mining
- clustering method
- low dimensional
- singular value decomposition
- matrix factorization
- clustering algorithm
- missing data
- sparse representation
- pairwise
- norm minimization
- knowledge discovery
- association rules
- database
- machine learning
- information retrieval
- input data
- image data
- similarity measure