Robust and Distributed Cluster Enumeration and Object Labeling
This dissertation contributes to the area of cluster analysis by providing principled methods to determine the number of data clusters and cluster memberships, even in the presence of outliers. The main theoretical contributions are summarized in two theorems on Bayesian cluster enumeration based on...
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| Format: | Others |
| Language: | en |
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2019
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| Online Access: | https://tuprints.ulb.tu-darmstadt.de/8539/1/2019-03-04_Teklehaymanot_Freweyni_Kidane.pdf Teklehaymanot, Freweyni Kidane <http://tuprints.ulb.tu-darmstadt.de/view/person/Teklehaymanot=3AFreweyni_Kidane=3A=3A.html> (2019): Robust and Distributed Cluster Enumeration and Object Labeling.Darmstadt, Technische Universität, [Ph.D. Thesis] |
Internet
https://tuprints.ulb.tu-darmstadt.de/8539/1/2019-03-04_Teklehaymanot_Freweyni_Kidane.pdfTeklehaymanot, Freweyni Kidane <http://tuprints.ulb.tu-darmstadt.de/view/person/Teklehaymanot=3AFreweyni_Kidane=3A=3A.html> (2019): Robust and Distributed Cluster Enumeration and Object Labeling.Darmstadt, Technische Universität, [Ph.D. Thesis]