Application of Hierarchical Cluster Analysis in The Machine Learning

Georgi Krastev, V. Voinohovska
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Abstract

The paper presents a classification of the methods for hierarchical clustering. A numerical sample is solved considering five objects, classified according to four attributes. Based on the applied methods a software program is developed for hierarchical clustering with a lot of opportunities for visualizing the results.
层次聚类分析在机器学习中的应用
本文对层次聚类方法进行了分类。考虑五个目标,根据四个属性进行分类,求解一个数值样本。在应用方法的基础上,开发了一个分层聚类的软件程序,为结果的可视化提供了很多机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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