A competitive optimization approach for data clustering and orthogonal non-negative matrix factorization
Year of publication: |
2021
|
---|---|
Authors: | Dehghanpour-Sahron, Ja’far ; Mahdavi-Amiri, Nezam |
Published in: |
4OR : quarterly journal of the Belgian, French and Italian Operations Research Societies. - Berlin : Springer, ISSN 1614-2411, ZDB-ID 2106212-2. - Vol. 19.2021, 4, p. 473-499
|
Subject: | Clustering | Multilevel method | Normalized k-cut | Optimization problem | Orthogonal non-negative matrix factorization | Regionales Cluster | Regional cluster | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Lineare Algebra | Linear algebra | Clusteranalyse | Cluster analysis |
-
Characterizing correlation matrices that admit a clustered factor representation
Tong, Chen, (2023)
-
Good clusterings have large volume
Borgwardt, Steffen, (2019)
-
Goudarzi, Siamak, (2017)
- More ...
-
Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings
Mahdavi, Iraj, (2017)
-
Multiple utility constrained multi-objective programs using Bayesian theory
Abbasian, Pooneh, (2018)
-
Nourifar, Raheleh, (2018)
- More ...