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Summary
- Probability Model-Based Clustering
- Fuzzy clustering
- Probability-model-based clustering
- The EM algorithm
- Clustering High-Dimensional Data
- Subspace clustering: bi-clustering methods
- Dimensionality reduction: Spectral clustering
- Clustering Graphs and Network Data
- Graph clustering: min-cut vs. sparsest cut
- High-dimensional clustering methods
- Graph-specific clustering methods, e.g., SCAN
- Clustering with Constraints
- Constraints on instance objects, e.g., Must link vs. Cannot Link
- Constraint-based clustering algorithms
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