Scheme Selection Based on Clusters' Quality in Multi-Clustering M - CCF Recommender System.
Urszula KuzelewskaPublished in: ISD (2023)
Keyphrases
- clustering algorithm
- clustering scheme
- clustering quality
- recommender systems
- hierarchical clustering
- cluster analysis
- overlapping clusters
- k means
- data clustering
- graph clustering
- clustering method
- self organizing maps
- document clustering
- clustering approaches
- unsupervised clustering
- fuzzy clustering
- selection scheme
- data points
- clustering framework
- soft clustering
- collaborative filtering
- model based clustering
- incremental clustering
- density based clustering
- high quality
- inter cluster
- subspace clustering
- agglomerative hierarchical clustering
- cluster centers
- selection strategy
- quality measures
- clustering solutions
- spectral clustering
- intra cluster
- fuzzy k means
- agglomerative clustering
- davies bouldin
- clustering result
- data objects
- hierarchical clustering algorithm
- information filtering
- fuzzy c means
- unsupervised learning
- classical clustering algorithms
- validity measures
- density based clustering algorithm
- arbitrary shape
- similarity matrix
- similar objects
- spatial clustering
- cluster labels
- synthetic datasets
- user preferences
- simultaneous clustering
- constrained clustering
- homogeneous groups
- disjoint clusters
- search results clustering
- cluster structure