Kernel-Reliability-Based K-Means (KRKM) Clustering Algorithm and Image Processing.
Chunsheng HuaJuntong QiJianda HanHaiyuan WuPublished in: IEICE Trans. Inf. Syst. (2014)
Keyphrases
- k means
- clustering algorithm
- image processing
- data clustering
- clustering method
- kernel based clustering
- spectral clustering
- signal processing
- normalized cut
- clustering analysis
- fuzzy c means
- machine vision
- kernel methods
- pattern recognition
- unsupervised clustering
- hierarchical clustering
- document clustering
- squared euclidean distance
- cluster analysis
- image enhancement
- feature space
- denoising
- multiscale
- kernel function
- computer graphics
- clustering quality
- cluster centers
- image processing algorithms
- color images
- edge detection
- feature extraction
- clustering framework
- expectation maximization
- graph partitioning
- image restoration
- image denoising
- image segmentation
- affinity propagation
- clustering ensemble
- clustering approaches
- text clustering
- hierarchical agglomerative clustering
- support vector
- computer vision
- center based clustering
- hierarchical clustering algorithms
- hidden markov random fields
- hierarchical clustering algorithm
- kernel machines
- reproducing kernel hilbert space
- arbitrary shape
- pairwise
- image analysis
- remote sensing
- self organizing maps