...啊无言（咖啡馆） Clustering, HCL)、K-均值聚类(K-means Clustering, KMC)、 自组织映射图网络(Self-organizing Map Clustering, SOM)等，其中HCL应用最广泛。 最后寻找软件，cluster软件就具有上述功能。
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Aiming to some flaw, people bring forward to use Self-Organizing Feature Map on collecting data to make clustering and watching at first, and obtain principium information about some collection data.
针对这些缺点提出先利用自组织映射的方法对采集的数据进行聚类和可视化，获得一些关于采集到的数据的初步信息。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
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