Evolving clustering algorithm based on average cluster distance - eCAD.
Goran AndonovskiIgor SkrjancPublished in: EAIS (2022)
Keyphrases
- clustering algorithm
- data clustering
- average distance
- k means
- cluster analysis
- cluster centers
- fuzzy c means
- clustering method
- clustering framework
- hierarchical clustering
- fuzzy clustering
- disjoint clusters
- overlapping clusters
- distance measure
- density based clustering
- inter cluster
- arbitrary shape
- fuzzy c means clustering algorithm
- unsupervised clustering
- document clustering
- path length
- clustering quality
- hierarchical agglomerative
- standard deviation
- subspace clustering
- distance matrix
- distance function
- clustering procedure
- intra cluster
- data mining
- agglomerative clustering
- euclidean distance
- clustering approaches
- semi supervised clustering
- minimum distance
- hierarchical structure