关键词: 自组织映射, 神经网络, 高维数据可视化, 聚类分析

Abstract: A new high-dimensional data visualization algorithm based on the Self-Organizing Map（SOM） is demonstrated. The algorithm is named TDSOM（Three-Dimensional Self-Organizing Map） to describe its special characteristics. After being trained with SOM network, high-dimensional data is projected into particular point sets in the three-dimensional coordinate system. A three-dimensional model is created by the algorithm. Through the experiment, TDSOM is proved to be much more accurate and more analytical than the traditional methods in displaying the high-dimensional data. The main innovation of the new TDSOM algorithm is the presentation of the large data in three-dimensional coordinate system which is much vaster than the two-dimensional one. What’s more, users are able to discover some interesting patterns according to their own areas through the model. The method can be widely applied in areas such as data mining, pattern recognition and so on.

Key words: self-organizing map, neural networks, data visualization, clustering analysis