Improving spectral clustering with deep embedding, cluster estimation and metric learning.
Liang DuanShuai MaCharu AggarwalSaket SathePublished in: Knowl. Inf. Syst. (2021)
Keyphrases
- spectral clustering
- metric learning
- pairwise similarities
- pairwise
- data clustering
- semi supervised clustering
- clustering algorithm
- similarity matrix
- clustering quality
- pairwise constraints
- unsupervised clustering
- normalized cut
- distance metric
- semi supervised
- manifold structure
- clustering method
- dimensionality reduction
- learning tasks
- distance function
- k means
- image segmentation
- kernel pca
- graph laplacian
- multi task
- cluster analysis
- graph partitioning
- feature space
- nonlinear dimensionality reduction
- eigendecomposition
- euclidean distance
- data points
- kernel matrix
- text mining
- machine learning