Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size.
Hiroyuki ShinnouMinoru SasakiPublished in: LREC (2008)
Keyphrases
- spectral clustering
- similarity matrix
- data sets
- pairwise
- clustering method
- data clustering
- image segmentation
- clustering algorithm
- similarity measure
- eigendecomposition
- k means
- co occurrence
- graph partitioning
- training data
- least squares
- pattern recognition
- dimension reduction
- negative matrix factorization
- normalized cut
- support vector
- nonnegative matrix factorization
- machine learning