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EPSRC Winter School in Mathematics for Data Modelling

Hierarchical Clustering

author: Yee Whye Teh , University College London

Description

This presentation describes approaches to hierarchical clustering.

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Slides
0:00 Hierarchical Clustering
0:47 Hierarchical Representations - 1
1:35 Hierarchical Representations - 2
2:09 Hierarchical Representations - 3
2:13 Hierarchical Representations - 4
2:46 Hierarchical Representations - 5
4:05 Hierarchical Representations - 6
4:56 Hierarchical Clustering - 1
5:46 Hierarchical Clustering - 2
7:29 - Questions
13:03 Hierarchical Clustering - 4
15:03 Linkage Algorithms
17:19 Linkage Algorithms: Similarity Choices - 1
18:30 Linkage Algorithms: Similarity Choices - 2
19:39 - Questions
24:44 Linkage Algorithms: Pros and Cons
27:53 Probabilistic Hierarchical Clustering - 1
29:35 Probabilistic Hierarchical Clustering - 2
30:54 Probabilistic Hierarchical Clustering - 3
31:50 Probabilistic Hierarchical Clustering - 4
33:31 Probabilistic Hierarchical Clustering - 3
33:34 - Questions
36:02 - Questions
37:48 Probabilistic Hierarchical Clustering - 4
38:19 Probabilistic Hierarchical Clustering - 5
40:08 Probabilistic Hierarchical Clustering - 6
40:57 Probabilistic Hierarchical Clustering: Pros and Cons
41:09 Probabilistic Hierarchical Clustering - 4
41:19 Probabilistic Hierarchical Clustering - 6
41:26 Probabilistic Hierarchical Clustering: Pros and Cons
42:44 Probabilistic Hierarchical Clustering - 3
42:57 Probabilistic Hierarchical Clustering: Pros and Cons
43:22 Hierarchical Clustering - 5
45:16 Tree-Structured Probabilistic Models - 1
46:08 Tree-Structured Probabilistic Models - 2
47:56 Bayesian Tree-Structured Models
48:35 Tree-Structured Probabilistic Models - 1
48:37 Bayesian Tree-Structured Models
48:53 Tree-Structured Probabilistic Models - 2
48:58 Bayesian Tree-Structured Models
49:53 - Questions
55:48 Comparisons - 2
56:33 - Questions
58:09 Phylolinguistics - 2
59:10 Bayesian Tree-Structured Models: Pros and Cons
60:28 - Questions
65:03 - Questions
70:17 - Questions

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