A faster dynamic convergency approach for self-organizing maps

A faster dynamic convergency approach for self-organizing maps

Abstract This paper proposes a novel variable learning rate to address two main challenges of the conventional Self-Organizing Maps (SOM) termed VLRSOM: high accuracy with fast convergence and low topological error. We empirically showed that the proposed method exhibits faster convergence behavior....

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Bibliographic Details
Main Authors: Akhtar Jamil, Alaa Ali Hameed, Zeynep Orman
Format: Article
Language:English
Published: Springer 2022-07-01
Series:Complex & Intelligent Systems
Subjects:
Self-organizing maps
Variable learning rate SOM
Quantization error
Clustering
Dimensionality reduction
Online Access:https://doi.org/10.1007/s40747-022-00826-2

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