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Requirements and Challenges
- Scalability
- Clustering all the data instead of only on samples
- Ability to deal with different types of attributes
- Numerical, binary, categorical, ordinal, linked, and mixture of these
- Constraint-based clustering
- User may give inputs on constraints
- Use domain knowledge to determine input parameters
- Interpretability and usability
- Others
- Discovery of clusters with arbitrary shape
- Ability to deal with noisy data
- Incremental clustering and insensitivity to input order
- High dimensionality
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