Performance of Multi-Clustering Recommender System after Selection of Clusters based on V-Measures.
Urszula KuzelewskaPublished in: ISD (2022)
Keyphrases
- clustering algorithm
- recommender systems
- hierarchical clustering
- cluster analysis
- overlapping clusters
- data clustering
- affinity measure
- fuzzy clustering
- clustering scheme
- document clustering
- clustering method
- data points
- k means
- clustering framework
- unsupervised clustering
- density based clustering
- validity measures
- intra cluster
- hierarchical clustering algorithm
- graph clustering
- inter cluster
- incremental clustering
- clustering approaches
- clustering procedure
- self organizing maps
- cluster membership
- clustering quality
- agglomerative hierarchical clustering
- cluster validation
- spatial clustering
- density based clustering algorithm
- fuzzy clustering algorithm
- homogeneous groups
- clustering analysis
- cluster centers
- disjoint clusters
- soft clustering
- kohonen self organizing maps
- agglomerative clustering
- constrained clustering
- categorical data
- subspace clustering
- model based clustering
- collaborative filtering
- user profiles
- fuzzy k means
- fuzzy c means
- hierarchical agglomerative clustering
- arbitrary shape
- cluster labels
- meaningful clusters
- spectral clustering
- user preferences
- validity index
- clustering result
- cluster structure
- cluster validity
- implicit feedback
- rand index
- data objects
- dense regions
- search results clustering
- semi supervised