Machine learningDimensionality reduction
自组织映射 (Kohonen 映射)
自组织映射是一种无监督神经网络，由 Teuvo Kohonen 于 1982 年提出，它将高维数据投影到低维（通常是二维）的原型向量网格上，同时保留数据的拓扑结构——即附近的输入映射到附近的网格单元。它用于可视化、聚类和探索性分析，将复杂数据转化为有序、可解释的映射图。
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来源
- Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43(1), 59–69. DOI: 10.1007/BF00337288 ↗
- Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, 78(9), 1464–1480. DOI: 10.1109/5.58325 ↗
如何引用本页
ScholarGate. (2026, June 2). Self-Organizing Map (Kohonen Map). ScholarGate. https://scholargate.app/zh/machine-learning/self-organizing-map
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