A novel scale-invariant, dynamic method for hierarchical clustering of data affected by measurement uncertainty.
Federica VignatiDamiano FustinoniAlfonso NiroPublished in: J. Comput. Appl. Math. (2018)
Keyphrases
- hierarchical clustering
- clustering method
- scale invariant
- hierarchical clustering algorithm
- training samples
- high dimensional
- detection method
- hierarchical clustering algorithms
- parameter free
- similarity matrix
- invariant features
- spectral clustering
- matching algorithm
- computer vision
- feature set
- data points
- probabilistic model
- pairwise
- feature space
- image processing