Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis.
Zhirong YangJukka CoranderErkki OjaPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- cluster analysis
- matrix decomposition
- low rank
- low rank matrix
- missing data
- linear combination
- convex optimization
- matrix factorization
- singular value decomposition
- clustering algorithm
- kernel matrix
- clustering method
- high dimensional data
- data analysis
- data clustering
- semi supervised
- unsupervised learning
- high order
- data mining techniques
- data mining
- k means
- nonnegative matrix factorization
- data matrix
- image processing
- singular values
- multidimensional scaling
- collaborative filtering
- machine learning
- high dimensional
- pattern recognition
- training data
- learning algorithm