Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022 /
| Korporativní autor: | |
|---|---|
| Další autoři: | , , |
| Shrnutí: | XII, 119 p. 45 illus., 34 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Vydání: | 1st ed. 2022. |
| Edice: | Lecture Notes in Networks and Systems,
533 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-15444-7 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- Sparse weighted K-means for groups of mixed-type variables
- Fast parallel search of Best Matching Units in Self-Organizing Maps
- Neural networks for spatial models
- Machine Learning and Data-Driven Approaches in Spatial Statistics : a case study of housing price estimation
- Modification of the Classification-by-Component Predictor Using Dempster-Shafer-Theory
- Inferring epsilon-nets of Finite Sets in a RKHS
- Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer
- Application of Kohonen Maps in Predicting and Characterizing VAT Fraud in Southern Mozambique
- Visual insights from the latent space of generative models for molecular design.