识别SOM中的集群（自组织图）

p> 具体地说，我想找到群集的中心，因此给了我中心节点。 解决方案您可以使用相对较小的映射并将每个节点视为一个群集，但这远非最佳选择。如果您想应用自动的群集检测方法，则应绝对阅读 自组织地图的聚类 并搜索类似的书目。 您还可以使用更复杂的SOM算法版本（多级，自增长等）。 无论如何，请记住找到正确数目的簇的问题没有有限的解决方案。 Once I have collected and organized data in a SOM how do I identify clusters?(Items are aggregated and clustered using many traits - upwards of 10)Specifically I want to find the 'center' of the cluster - therefor giving me the 'center' node(s). 解决方案 You could use a relative small map and consider each node a cluster, but this is far from optimal. If you want to apply an automated cluster detection method you should definitely readClustering of the Self−Organizing Mapand search similar bibliography.You could also use more sophisticated versions of SOM algorithm (multi leveled, self growing, etc).In any case, keep in mind that the problem of finding the "correct" number of clusters doesn't have a finite solution. 这篇关于识别SOM中的集群（自组织图）的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！ 上岸，阿里云！