Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator.
Filipe F. R. DamascenoMarcelo B. A. VerasDiego Parente Paiva MesquitaJoão Paulo Pordeus GomesCarlos Eduardo Fisch de BritoPublished in: BRACIS (2016)
Keyphrases
- k means
- clustering algorithm
- data clustering
- cluster analysis
- clustering method
- spectral clustering
- least squares
- hierarchical clustering
- soft thresholding
- maximum likelihood
- unsupervised clustering
- denoising
- text clustering
- cluster centers
- clustering approaches
- expectation maximization
- image denoising
- fuzzy clustering
- fuzzy c means
- hierarchical agglomerative
- agglomerative hierarchical clustering
- constrained clustering
- partitional clustering
- cluster structure
- self organizing maps
- clustering analysis
- clustering quality
- image reconstruction
- semi supervised clustering
- document clustering
- clustering framework
- hierarchical clustering algorithm
- affinity propagation
- variance estimator
- clustering ensemble
- recursive least squares
- arbitrary shape
- maximum a posteriori
- fuzzy k means
- subspace clustering
- wavelet domain