聖塔非研究所

摘要 Self organizing maps (SOM) are unsupervised, comp

1998 · 已發表論文 · 更新 2026/08/30 下午12:48

摘要 Self organizing maps (SOM) are unsupervised, competitive 神經 網絡s used to project high dimensional data onto a low dimensional space. In this article we show how SOM can be used to draw gra…

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論文資訊

  • 類型:已發表論文
  • 日期:1998

摘要

Self-organizing maps (SOM) are unsupervised, competitive 神經 網絡s used to project high-dimensional data onto a low- dimensional space. In this article we show how SOM can be used to draw graphs in the plane. The SOM-based approach to graph drawing, which belongs to the general class of force-directed algorithms, allows the drawing of arbitrary weighted graphs. It is particularly efficient to draw large graphs and can be used as a preprocessing step before application of a more sophisticated method. (C) 1998 Published by Elsevier Science B.V. All rights reserved.

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