A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance.
Francisco de A. T. de CarvalhoRenata M. C. R. de SouzaLucas X. T. BezerraPublished in: SBRN (2006)
Keyphrases
- clustering method
- euclidean distance
- interval data
- similarity measure
- fuzzy c means
- distance measure
- feature vectors
- clustering algorithm
- minmax regret
- data clustering
- shortest path problem
- cluster analysis
- distance metric
- k means
- high dimensional spaces
- distance function
- spectral clustering
- data points
- dimensionality reduction
- manhattan distance
- document clustering
- pairwise
- shortest path
- data analysis
- temporal data
- dynamic programming