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Agenda
- Probability Model-Based Clustering
- Each object may take a probability to belong to a cluster
- Clustering High-Dimensional Data
- Curse of dimensionality: Difficulty of distance measure in high-D space
- Clustering Graphs and Network Data
- Similarity measurement and clustering methods for graph and networks
- Clustering with Constraints
- Cluster analysis under different kinds of constraints, e.g., that raised from background knowledge or spatial distribution of the objects
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