摘要 Self organizing maps (SOM) are unsupervised, comp

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論文資訊

• 類型：已發表論文
• 日期：2002

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 paper it is shown that SOM can be used to perform multidimensional 縮放律 (MDS) on graphs. The SOM-based approach is applied to two families of 隨機圖s and three real-world 網絡s. (C) 2002 Elsevier Science Inc. All rights reserved.

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