Incremental Spectral Clustering via Fastfood Features and Its Application to Stream Image Segmentation.
Li HeYi LiXiang ZhangChuangbin ChenLei ZhuChengcai LengPublished in: Symmetry (2018)
Keyphrases
- spectral clustering
- image segmentation
- pairwise
- clustering method
- data clustering
- clustering algorithm
- normalized cut
- k means
- feature vectors
- evolutionary clustering
- spectral methods
- eigendecomposition
- nonnegative matrix factorization
- affinity matrix
- graph partitioning
- unsupervised clustering
- markov random field
- segmentation method
- constrained spectral clustering
- feature space
- feature set
- feature extraction
- data streams
- similarity matrix
- pairwise constraints
- clustering quality
- segmentation algorithm
- constrained clustering
- probabilistic model
- training data
- alternative clusterings