Determination of the appropriate parameters for K-means clustering using selection of region clusters based on density DBSCAN (SRCD-DBSCAN).
Onapa LimwattanapiboolSomjit Arch-intPublished in: Expert Syst. J. Knowl. Eng. (2017)
Keyphrases
- clustering algorithm
- density based clustering algorithm
- dense regions
- density based clustering
- k means
- data clustering
- spatial clustering
- arbitrary shape
- cluster analysis
- subspace clustering
- clustering method
- fine tuning
- maximum likelihood
- fuzzy clustering
- parameter values
- maximum likelihood estimation
- parameter determination
- density distribution
- high efficiency
- hierarchical clustering
- document clustering
- parameter estimation
- expectation maximization
- categorical data
- density function
- cluster centers
- clustering quality
- spectral clustering
- constrained clustering
- clustering framework
- outlier detection
- pairwise
- instance level constraints
- video sequences