Explain Your Clusters with Words. The Role of Metadata in Interactive Clustering.
Maciej MozolewskiSamaneh JamshidiSzymon BobekGrzegorz J. NalepaPublished in: SEM4NBU@IJCAI (2022)
Keyphrases
- clustering algorithm
- metadata
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- clustering method
- clustering approaches
- fuzzy clustering
- clustering framework
- data points
- clustering scheme
- document clustering
- agglomerative hierarchical clustering
- k means
- incremental clustering
- cluster centers
- validity measures
- density based clustering
- intra cluster
- clustering procedure
- agglomerative clustering
- self organizing maps
- hierarchical clustering algorithm
- cluster membership
- model based clustering
- unsupervised clustering
- cluster structure
- clustering quality
- digital libraries
- multimedia
- fuzzy k means
- kohonen self organizing maps
- graph clustering
- clustering analysis
- clustering result
- arbitrary shape
- subspace clustering
- density based clustering algorithm
- learning objects
- hierarchical agglomerative clustering
- cluster validation
- inter cluster
- data objects
- spectral clustering
- bayesian information criterion
- disjoint clusters
- databases
- homogeneous groups
- validity indices
- keywords
- high dimensional
- affinity measure
- text documents
- unsupervised learning
- n gram
- clustering ensemble
- constrained clustering
- web objects
- affinity propagation
- similar objects
- classical clustering algorithms