DocumentCode
707318
Title
A study of hierarchical clustering algorithms
Author
Patel, Sakshi ; Sihmar, Shivani ; Jatain, Aman
Author_Institution
Dept. of Comput. Sci., ITM Univ., Gurgaon, India
fYear
2015
fDate
11-13 March 2015
Firstpage
537
Lastpage
541
Abstract
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.
Keywords
pattern clustering; set theory; cluster analysis; hierarchical agglomerative clustering algorithms; object set categorization; Algorithm design and analysis; Clustering algorithms; Complexity theory; Couplings; Heuristic algorithms; Partitioning algorithms; Rocks; Agglomerative; Dendrogram; Hierarchical clusterin;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100308
Link To Document