hierarchical clustering
将相似的数据点分组
常用释义
英式发音
美式发音
基本释义
- 层次聚类：一种将数据集分层次进行聚类的方法，通过计算不同数据点之间的距离，将相似的数据点分组，形成一个层次结构。
例句
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1·Method Weighted Hierarchical Clustering method was used.方法基于加权的层次聚类方法。
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2·Popular approaches include k-Means and hierarchical clustering.流行的方法包括k - Means和分层集群。
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3·Partition clustering and hierarchical clustering are two fundamental clustering methods.划分聚类和分级聚类是两种基本的聚类手段。
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4·The experimental data were used for similarity calculation and hierarchical clustering analysis.用于相似度计算和聚类分析实验数据。
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5·Objective The conditional hierarchical clustering for 1-dimensional (1-d) ordinal data was discussed.目的介绍并讨论一种适用于一维有序样品的条件系统聚类方法。
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6·Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps.无监管学习的常见方法包括k - Means、分层集群和自组织地图。
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7·It consists of three parts: calculation of distance measures, randomized testing, and hierarchical clustering.该算法由三部分组成：距离测度计算、随机化检验和系统聚类。
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8·In this paper, cluster ensemble methods based on hierarchical clustering and clustering validity have been studied.本文对基于层次聚类的簇集成方法及聚类的有效性进行了研究。
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9·The cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.在聚类的过程中簇间距离计算的准确性是影响算法性能的重要因素。
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10·The data are reduced in both horizontal and vertical directions by using hierarchical clustering and rough set methods.通过系统聚类和粗糙集两种方法进行数据约简，使数据得到横向和纵向两个方向上的约简。