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 :
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