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 /
| Corporate Author: | |
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| Other Authors: | , , |
| Summary: | XII, 119 p. 45 illus., 34 illus. in color. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Lecture Notes in Networks and Systems,
533 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-15444-7 |
| Format: | Electronic Book |
Table of Contents:
- 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.