Density-based geodesic distance for identifying the noisy and nonlinear clusters.
Jaehong YuSeoung Bum KimPublished in: Inf. Sci. (2016)
Keyphrases
- geodesic distance
- clustering algorithm
- density based clustering
- arbitrary shape
- subspace clustering
- shortest path
- euclidean space
- euclidean distance
- manifold learning
- fisher information
- geometric structure
- distance transform
- cluster analysis
- data points
- clustering method
- distance metric
- outlier detection
- similarity search
- gaussian mixture
- high dimensional data
- medical images
- data sets