The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)

Clustering Trees with Instance Level Constraints

author: Jan Struyf, Department of Computer Science, K. U. Leuven

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*Slides*
0:00	Clustering Trees with Instance Level Constraints
0:10	Clustering, Classification, & Constrained Clustering (1)
0:40	Clustering, Classification, & Constrained Clustering (2)
0:48	Clustering, Classification, & Constrained Clustering (3)
1:38	Clustering, Classification, & Constrained Clustering (4)
1:42	Clustering, Classification, & Constrained Clustering (5)
1:50	Clustering, Classification, & Constrained Clustering (6)
2:28	Clustering Trees [Blockeel et al. ICML’98] (1)
3:45	Clustering Trees [Blockeel et al. ICML’98] (2)
3:51	Clustering Trees [Blockeel et al. ICML’98] (3)
3:52	Clustering Trees [Blockeel et al. ICML’98] (4)
3:57	Clustering Trees [Blockeel et al. ICML’98] (5)
3:58	Clustering Trees [Blockeel et al. ICML’98] (6)
4:00	Clustering Trees [Blockeel et al. ICML’98] (7)
4:07	Extension: Disjunctive Clustering Trees (1)
4:29	Extension: Disjunctive Clustering Trees (2)
5:24	Problem Definition
6:20	ClusILC: Heuristic
8:31	ClusILC: Search Strategy (1)
8:45	ClusILC: Search Strategy (2)
9:10	ClusILC: Search Strategy (3)
9:11	ClusILC: Search Strategy (4)
9:13	ClusILC: Search Strategy (5)
9:47	ClusILC: Best Split + Cluster Labels (1)
10:39	ClusILC: Best Split + Cluster Labels (2)
11:05	ClusILC: Best Split + Cluster Labels (3)
11:42	ClusILC: Best Split + Cluster Labels (4)
11:55	ClusILC: Best Split + Cluster Labels (5)
13:24	ClusILC: Best Split + Cluster Labels (6)
14:04	ClusILC: Summary
14:47	ClusILC: Experimental Setup
16:16	ClusILC: Experimental Results (1)
16:29	ClusILC: Experimental Results (2)
17:31	ClusILC: Experimental Results (3)
18:37	ClusILC: Conclusion + Future Work

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