Clustering by Nonnegative Matrix Factorization Using Graph Random Walk.
Zhirong YangTele HaoOnur DikmenXi ChenErkki OjaPublished in: NIPS (2012)
Keyphrases
- random walk
- nonnegative matrix factorization
- nonnegative matrix
- directed graph
- spectral clustering
- matrix factorization
- negative matrix factorization
- spectral methods
- data representation
- document clustering
- flow graph
- least squares
- markov chain
- principal component analysis
- markov random walk
- proximity measures
- transition probability matrix
- graph laplacian
- clustering algorithm
- data matrix
- k means
- nodes of a graph
- collaborative filtering
- graph clustering
- recommender systems
- machine learning
- original data