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Clustering with Multi-Relational Features
- Given a set of L pertinent features f1, …, fL, similarity between two tuples
\[ sim(t_{1},t_{2})=\sum_{i=1}^{L}sim_{f_{i}}(t_{1},t_{2}).f_{i}.weight \]
- Weight of a feature is determined in feature search by its similarity with other pertinent features
- Clustering methods
- CLARANS [Ng & Han 94], a scalable clustering algorithm for non-Euclidean space
- K-means
- Agglomerative hierarchical clustering
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