Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering.
Shinichi NakajimaAkiko TakedaS. Derin BabacanMasashi SugiyamaIchiro TakeuchiPublished in: NIPS (2013)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- matrix factorization
- variational bayesian
- missing data
- linear combination
- convex optimization
- singular value decomposition
- dimensionality reduction
- high dimensional
- clustering method
- semi supervised
- data analysis
- data sets
- collaborative filtering
- clustering algorithm
- high order
- nearest neighbor
- data points
- factor analysis
- data mining