Spherical Tree Structured Self-Organizing Map

H. Dozono, Koki Yoshioka, Gen Niina
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Abstract

∗In order to speed up the search for winner nodes in a SelfOrganizing Map (SOM), Tree Structured SOM(TS-SOM), which applies the tree search method to the SOM, was proposed. Since TS-SOM has the edges of the map like the SOM, the learning is biased depending on the position of the winner node. Therefore, in this paper, in order to eliminate the edges of TS-SOM’s map, we propose Spherical TS-SOM(S-TS-SOM) in which nodes are placed on spheres and the tree search method is applied. Also, we evaluate the performance of S-TS-SOM.
球形树结构自组织映射
为了加快自组织映射(SOM)中获胜节点的搜索速度,提出了将树搜索方法应用于自组织映射(SOM)的树结构自组织映射(TS-SOM)。由于TS-SOM像SOM一样有地图的边缘,学习是有偏差的,这取决于获胜节点的位置。因此,为了消除TS-SOM地图的边缘,本文提出了球面TS-SOM(S-TS-SOM),该算法将节点放置在球体上,并采用树搜索方法。并对S-TS-SOM的性能进行了评价。
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