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Aug 16, 2023 · This paper introduces the kernel GNG approach and explores the characteristics of the networks generated by kernel GNG. Five kernels, including ...
This paper describes the kernel growing neural gas (GNG) and investigates the characteristics of the networks it generates. Several kernel functions are ...
The GNG is an unsupervised artificial neural network that can transform a dataset into an undirected graph, thereby extracting the features of the dataset as a ...
This paper introduces the kernel GNG approach and explores the characteristics of the networks generated by kernel GNG. Five kernels, including Gaussian, ...
Oct 12, 2023 · The kernel trick allows the kernel GNG to learn the topology of the input without the need for direct projection of the data into feature space.
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Bibliographic details on Characteristics of networks generated by kernel growing neural gas.
Characteristics of networks generated by kernel growing neural gas. International Journal of Artificial Intelligence & Applications. Volume: 14; Number: 5 ...
Characteristics of networks generated by kernel growing neural gas Kazuhisa Fujita Komatsu University, Komatsu, Ishikawa, Japan [email protected] ...
Dec 13, 2016 · NG and GNG are a form of self-organizing maps (SOM), which are also referred to as "Kohonen neural networks". These are based on older, much wider view of ...
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This research aims to develop kernel GNG, a kernelized version of the growing neural gas (GNG) algorithm, and to investigate the features of the networks ...