A Study of Hierarchical Clustering Algorithms

被引：0

作者：

Patel, Sakshi ^{[1
]}

Sihmar, Shivani ^{[1
]}

Jatain, Aman ^{[1
]}

机构：

[1] ITM Univ, Dept Comp Sci, Gurgaon 122001, India

来源：

2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年

关键词：

Agglomerative; Dendrogram; Hierarchical clustering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Clustering algorithm plays a vital role in organizing large amount of information into small number of clusters which provides some meaningful information. Clustering is a process of categorizing set of objects into groups called clusters. Hierarchical clustering is a method of cluster analysis which is used to build hierarchy of clusters. This paper focuses on hierarchical agglomerative clustering. In this paper, we also explain some agglomerative algorithms and their comparison.

引用

页码：537 / 541

页数：5

共 19 条

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