An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion.
Richard J. HathawayJames C. BezdekPublished in: Neural Parallel Sci. Comput. (1994)
Keyphrases
- iterative procedure
- sum of squared errors
- clustering algorithm
- closed form
- clustering method
- data clustering
- k means
- feature selection
- optimization criteria
- self organizing maps
- high dimensional data
- anomaly detection
- cluster analysis
- spectral clustering
- fuzzy clustering
- graph theoretic
- optimal solution
- eigenvalue decomposition
- cluster validation
- data points
- optimization criterion
- similarity measure
- convex functions
- clustering analysis
- data mining tasks
- dissimilarity measure
- mutual information
- information theoretic