Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis.
Rocco LangoneMarc Van BarelJohan A. K. SuykensPublished in: Entropy (2016)
Keyphrases
- sensitivity analysis
- clustering algorithm
- managerial insights
- normalized cut
- variational inequalities
- influence diagrams
- information theory
- k means
- decomposition method
- missing values
- clustering method
- parameter free
- document clustering
- data clustering
- fuzzy clustering
- spectral analysis
- noisy data
- cluster analysis
- missing data
- incomplete data
- fuzzy c means
- arbitrary shape
- hierarchical clustering
- support vector
- sparse matrix
- image segmentation