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AllSince 2018
:: Volume 24, Issue 2 (3-2014) ::
مجله‌ی بررسی‌ها 2014, 24(2): 227-240 Back to browse issues page
Hierarchical and K-mean Clustering with R, SAS, and MATLAB
Hossein Hoshyarmanesh * , Milad Farhadi , Ali Hoshyarmanesh , Negar Jafarian
Abstract:   (4787 Views)

Hierarchical and K-mean clustering, according to their ability to meet the needs and problems of research in several scientific disciplines, are widely used among researchers. Extensive use of clustering in different contexts of health, engineering, social sciences and humanities, lead to growth of knowledge in these sciences. R, SAS and MATLAB software are the most widely used software in the analysis of clustering because of their ability in programming. However, each of this software has particular ability and limitations to clustering. So the familiarity of researcher with clustering method in each of this software allows them to use software which meets their needs for performing hierarchical clustering and K-means.

Keywords: Hierarchical clustering, K-mean clustering, R, SAS and MATLAB software.
Full-Text [PDF 1686 kb]   (10986 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/05/21 | Accepted: 2014/11/24 | Published: 2015/12/6
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Hoshyarmanesh H, Farhadi M, Hoshyarmanesh A, Jafarian N. Hierarchical and K-mean Clustering with R, SAS, and MATLAB. مجله‌ی بررسی‌ها 2014; 24 (2) :227-240
URL: http://ijoss.srtc.ac.ir/article-1-34-en.html

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Volume 24, Issue 2 (3-2014) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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