A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps-Reference-Cited by-同舟云学术

A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps

Published:2020 Issue: Volume: Page:825-837
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2020
language:
Short-container-title:

Author:

Bernard Yann,Hueber Nicolas,Girau Bernard

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-61616-8_66

Reference16 articles.

1. Abadi, M., Jovanovic, S., Khalifa, K.B., Weber, S., Bedoui, M.H.: A scalable and adaptable hardware NoC-based self organizing map. Microprocess. Microsyst. 57, 1–14 (2018)

2. Amerijckx, C., Legat, J.D., Verleysen, M.: Image compression using self-organizing maps. Syst. Anal. Modell. Simul. 43(11), 1529–1543 (2003)

3. Cottrell, M., Olteanu, M., Rossi, F., Villa-Vialaneix, N.N.: Self-OrganizingMaps, theory and applications. Revista de Investigacion Operacional 39(1), 1–22 (2018)

4. Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A., Gaglio, S.: Simulated annealing technique for fast learning of SOM networks. Neural Comput. Appl. 22(5), 889–899 (2013). https://doi.org/10.1007/s00521-011-0780-6

5. Fritzke, B.: A growing neural gas network learns topologies. In: Advances in Neural Information Processing Systems, vol. 7. pp. 625–632. MIT Press (1995)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forty years of color quantization: a modern, algorithmic survey;Artificial Intelligence Review;2023-04-27

2. The Effects on Learning and Visualization of a Polyhedral Self-Organizing Map Using a Tetrahedral Approach;2022-12-13

3. Fast Parallel Search of Best Matching Units in Self-organizing Maps;Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization;2022

4. A Survey of Hardware Self-Organizing Maps;IEEE Transactions on Neural Networks and Learning Systems;2022

5. Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat;Remote Sensing;2021-10-18