A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data.
Timothy C. HavensJames C. BezdekPublished in: Int. J. Intell. Syst. (2012)
Keyphrases
- k means
- input data
- noisy data
- data reduction
- data points
- synthetic datasets
- learning algorithm
- computational complexity
- clustering method
- data sets
- clustering analysis
- search space
- preprocessing
- optimal solution
- dynamic programming
- data sources
- cluster centers
- information loss
- hierarchical clustering
- spectral clustering
- clustering algorithm
- database
- hierarchical clustering algorithm
- data analysis
- clustering result
- cluster structure
- arbitrary shaped
- categorical data
- dissimilarity matrix
- alternating optimization
- distance metric
- probabilistic model
- cost function
- bayesian networks
- data objects
- data mining
- document clustering
- missing data
- detection algorithm
- expectation maximization
- knowledge discovery
- dense regions