A K-AP Clustering Algorithm Based on Manifold Similarity Measure.
Hongjie JiaLiangjun WangHeping SongQirong MaoShifei DingPublished in: Intelligent Information Processing (2018)
Keyphrases
- similarity measure
- clustering algorithm
- clustering method
- hierarchical clustering algorithm
- mutual information
- similarity matrix
- manifold learning
- similarity function
- spectral clustering
- k means
- euclidean space
- pairwise
- cluster analysis
- data clustering
- hierarchical clustering
- low dimensional
- fuzzy clustering
- fuzzy c means
- similarity search
- feature vectors
- cluster centers
- document clustering
- euclidean distance
- clustering analysis
- similarity assessment
- graph embedding
- mixed data
- riemannian metric
- affinity propagation
- fisher information
- measuring similarity
- clustering framework
- nonlinear dimensionality reduction
- subspace clustering
- dynamic time warping
- edit distance
- distance measure