ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning.
Mingbo ZhaoYue ZhangZhao ZhangJiao LiuWeijian KongPublished in: Neurocomputing (2019)
Keyphrases
- low rank
- supervised and unsupervised learning
- rank minimization
- semi supervised
- trace norm
- graph clustering
- missing data
- convex optimization
- matrix factorization
- semi supervised learning
- linear combination
- matrix completion
- unsupervised learning
- singular value decomposition
- supervised learning
- graph structure
- feature selection
- high order
- random walk
- data sets
- labeled data
- spanning tree
- pairwise
- machine learning
- high dimensional data
- data analysis
- multi task
- weighted graph
- clustering algorithm
- data mining