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...
Main Author: | Teklehaymanot, Freweyni Kidane |
---|---|
Format: | Others |
Language: | en |
Published: |
2019
|
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] |
Similar Items
-
Simcluster: clustering enumeration gene expression data on the simplex space
by: Brentani Helena, et al.
Published: (2007-07-01) -
Distributed enumeration of four node graphlets at quadrillion-scale
by: Liu, Xiaozhou
Published: (2021) -
Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking
by: Baojie Fan, et al.
Published: (2014-01-01) -
Enumerate / Construct
by: Gilliatt, Andrew
Published: (2011) -
Multiple object individuation and subitizing in enumeration: a view from electrophysiology
by: Veronica eMazza, et al.
Published: (2015-04-01)