ANIMC: A Soft Approach for Autoweighted Noisy and Incomplete Multiview Clustering.
Xiang FangYuchong HuPan ZhouDapeng Oliver WuPublished in: IEEE Trans. Artif. Intell. (2022)
Keyphrases
- noisy data
- clustering algorithm
- k means
- clustering method
- incomplete data
- data clustering
- missing data
- self organizing maps
- information theoretic
- graph theoretic
- hierarchical clustering
- multi view
- information retrieval
- categorical data
- document clustering
- missing values
- outlier detection
- viewpoint
- three dimensional
- data points
- video sequences
- decision trees
- genetic algorithm
- databases
- overlapping clusters