scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
Sheng-Wen TianJiancheng NiYu-Tian WangChun-Hou ZhengCunmei JiPublished in: IEEE J. Biomed. Health Informatics (2023)
Keyphrases
- data analysis
- graph theoretic
- cluster analysis
- graph clustering
- clustering algorithm
- clustering method
- graph partitioning
- clustering analysis
- k means
- graph representation
- graph model
- neighborhood graph
- neighborhood structure
- categorical data
- directed graph
- spectral clustering
- hierarchical clustering
- graph matching
- graph construction
- spectral methods
- similarity matrix
- neighborhood information
- data mining
- spanning tree
- agglomerative clustering
- directed acyclic graph
- graph structure
- graph theory
- data clustering
- self organizing maps
- business intelligence
- data visualization
- weighted graph
- data mining applications
- normalized cut
- connected components
- high dimensional data
- data processing
- data pre processing
- rough sets
- knowledge discovery