An ımproved clustering algorithm for text mining: multi-cluster spherical k-means.
Volkan TunaliTurgay Tugay BilginAli CamurcuPublished in: Int. Arab J. Inf. Technol. (2016)
Keyphrases
- clustering algorithm
- k means
- text mining
- text clustering
- document clustering
- data clustering
- clustering quality
- cluster analysis
- arbitrary shape
- hierarchical clustering
- clustering framework
- clustering method
- cluster centers
- natural language processing
- unsupervised clustering
- information extraction
- clustering approaches
- agglomerative hierarchical clustering
- partitional clustering
- constrained clustering
- semi supervised clustering
- clustering analysis
- fuzzy c means
- fuzzy clustering
- clustering result
- web mining
- text documents
- spectral clustering
- hierarchical agglomerative
- variable weighting
- overlapping clusters
- data mining
- hierarchical clustering algorithm
- cluster structure
- cluster labels
- subspace clustering
- knowledge discovery
- expectation maximization
- disjoint clusters
- meaningful clusters
- biomedical literature
- graph partitioning
- text classification
- density based clustering
- normalized cut
- affinity propagation
- fuzzy clustering algorithm
- textual data
- hierarchical agglomerative clustering
- topic models
- data points
- data analysis
- rough k means
- machine learning