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A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
Published on Oct 17, 20113081 Views
Evidence accumulation clustering (EAC) is a clustering combination method in which a pair-wise similarity matrix (the so-called co-association matrix) is learnt from a clustering ensemble. This co-ass
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Chapter list
A Generative Dyadic Model for Evidence Accumulation Clustering00:00
Outline00:29
Clustering Ensembles01:14
Evidence Accumulation Clustering (EAC)02:02
Dyadic Data Analysis03:15
Dyadic Data and Co-Occurrence Matrix03:52
Generative Model05:26
Mixture Model - 106:54
Mixture Model - 207:17
Mixture Model - 307:59
Maximum Likelihood Estimate09:03
E-Step09:27
M-Step09:57
Interpretation of the estimates11:23
Experimental Setup12:21
Example12:46
Results13:22
Conclusions14:07
Acknowledgements15:15