Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold.
Junda ShengThomas StrohmerPublished in: CoRR (2022)
Keyphrases
- clustering algorithm
- information theoretic
- semi supervised clustering
- unsupervised clustering
- mutual information
- k means
- document clustering
- clustering method
- semi supervised
- weighted graph
- high dimensional
- similarity measure
- multi class
- semi supervised learning
- sparse representation
- missing data
- background knowledge
- metric learning
- machine learning