Pseudo-Label Guided Collective Matrix Factorization for Multiview Clustering.
Di WangSongwei HanQuan WangLihuo HeYumin TianXinbo GaoPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- matrix factorization
- nonnegative matrix factorization
- collaborative filtering
- recommender systems
- low rank
- simultaneous clustering
- missing data
- variational bayesian
- factorization methods
- negative matrix factorization
- factor analysis
- clustering method
- tensor factorization
- k means
- personalized ranking
- data sparsity
- data clustering
- cluster analysis
- item recommendation
- spectral clustering
- unsupervised learning
- probabilistic matrix factorization
- implicit feedback
- document clustering
- factorization method
- latent factors
- latent factor models
- nearest neighbor
- data points
- probabilistic model