A Survey of Hierarchical Clustering Algorithms


Authors

Marjan Kuchaki Rafsanjani - Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran. Zahra Asghari Varzaneh - Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran. Nasibeh Emami Chukanlo - Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran.


Abstract

Clustering algorithms classify data points into meaningful groups based on their similarity to exploit useful information from data points. They can be divided into categories: Sequential algorithms, Hierarchical clustering algorithms, Clustering algorithms based on cost function optimization and others. In this paper, we discuss some hierarchical clustering algorithms and their attributes, and then compare them with each other.


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ISRP Style

Marjan Kuchaki Rafsanjani, Zahra Asghari Varzaneh, Nasibeh Emami Chukanlo, A Survey of Hierarchical Clustering Algorithms , Journal of Mathematics and Computer Science, 5 (2012), no. 3, 229 - 240

AMA Style

Rafsanjani Marjan Kuchaki, Varzaneh Zahra Asghari, Chukanlo Nasibeh Emami, A Survey of Hierarchical Clustering Algorithms . J Math Comput SCI-JM. (2012); 5(3):229 - 240

Chicago/Turabian Style

Rafsanjani, Marjan Kuchaki, Varzaneh, Zahra Asghari, Chukanlo, Nasibeh Emami. "A Survey of Hierarchical Clustering Algorithms ." Journal of Mathematics and Computer Science, 5, no. 3 (2012): 229 - 240


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