Improving the Clustering Algorithms Automatic Generation Process with Cluster Quality Indexes.
Michel MontenegroAruanda MeiguinsBianchi MeiguinsJefferson MoraisPublished in: ICCSA (1) (2020)
Keyphrases
- generation process
- clustering algorithm
- clustering quality
- data clustering
- cluster analysis
- clustering framework
- k means
- hierarchical clustering
- database
- unsupervised clustering
- agglomerative hierarchical clustering
- clustering method
- constrained clustering
- high quality
- clustering approaches
- hierarchical clustering algorithm
- model based clustering
- spectral clustering
- document clustering
- cluster centers
- data quality
- unsupervised learning
- hierarchical clustering algorithms
- overlapping clusters
- clustering solutions
- cluster labels
- improve quality
- meaningful clusters
- overlapping clustering
- validity measures
- arbitrary shape
- graph partitioning
- subspace clustering
- fuzzy c means
- query processing
- data structure
- image segmentation
- data sets