Density peak clustering using global and local consistency adjustable manifold distance.
Xinmin TaoWenjie GuoChao RenQing LiQing HeRui LiuJunrong ZouPublished in: Inf. Sci. (2021)
Keyphrases
- distance metric
- clustering algorithm
- dissimilarity measure
- global consistency
- density based clustering algorithm
- clustering method
- k means
- cluster analysis
- data clustering
- global structure
- categorical data
- distance function
- distance measure
- euclidean distance
- data points
- arbitrary shape
- geodesic distance
- spectral clustering
- euclidean space
- high dimensional
- hierarchical clustering
- data mining
- document clustering
- unsupervised learning
- outlier detection
- fuzzy clustering
- manifold learning
- self organizing maps
- low dimensional
- geometric structure
- inter cluster
- cluster centroids
- feature extraction
- affinity measure