Bayesian Network Clustering and Self-Organizing Maps under the Test of Indian Districts. A comparison
This paper compares Hierarchical Clustering, Bayesian Networks and Self-Organizing Map Neural Networks (SOM and superSOM) approaches used for clustering purposes in geographic space. The same dataset, covering the Republic of India and made of 55 indicators for 640 spatial units (administrative dist...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
Unité Mixte de Recherche 8504 Géographie-cités
2019-03-01
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| Series: | Cybergeo |
| Subjects: | |
| Online Access: | http://journals.openedition.org/cybergeo/31909 |