A Unifying Approach to Hard and Probabilistic Clustering.
Ron ZassAmnon ShashuaPublished in: ICCV (2005)
Keyphrases
- clustering algorithm
- clustering method
- k means
- information theoretic
- hierarchical clustering
- document clustering
- unsupervised learning
- minimum message length
- overlapping clusters
- graph theoretic
- categorical data
- posterior probability
- spectral clustering
- generative model
- data clustering
- outlier detection
- self organizing maps
- fuzzy clustering
- data mining tasks
- bayesian networks
- artificial intelligence
- real time