Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience.
Abraham BagherjeiranChristoph F. EickChun-Sheng ChenRicardo VilaltaPublished in: ICDM (2005)
Keyphrases
- clustering algorithm
- past experience
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- clustering method
- unsupervised clustering
- clustering framework
- clustering scheme
- k means
- data points
- clustering approaches
- case based reasoning
- clustering quality
- fuzzy clustering
- self organizing maps
- document clustering
- cluster centers
- inter cluster
- density based clustering algorithm
- density based clustering
- graph clustering
- intra cluster
- agglomerative hierarchical clustering
- hierarchical clustering algorithm
- cluster structure
- cluster validation
- arbitrary shape
- spectral clustering
- constrained clustering
- disjoint clusters
- subspace clustering
- domain knowledge
- homogeneous groups
- affinity measure
- neural network
- fuzzy c means
- cost function
- evolutionary algorithm
- reinforcement learning