A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course

There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical type. The great majority of hierarchical approaches to the clustering of variables are of agglomerative nature. The agglo...

Full description

Bibliographic Details
Main Authors:	Sembiring, Rahmat Widia, Jasni, Mohamad Zain, Abdullah, Embong
Format:	Article
Language:	English
Published:	Journal of Computing 2010
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/1202/ http://umpir.ump.edu.my/id/eprint/1202/ http://umpir.ump.edu.my/id/eprint/1202/2/A_Comparative_Agglomerative_Hierarchical_Clustering_Method_to_Cluster_Implemented_Course.pdf

id	ump-1202
recordtype	eprints
spelling	ump-12022018-12-21T02:45:54Z http://umpir.ump.edu.my/id/eprint/1202/ A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course Sembiring, Rahmat Widia Jasni, Mohamad Zain Abdullah, Embong QA75 Electronic computers. Computer science There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical type. The great majority of hierarchical approaches to the clustering of variables are of agglomerative nature. The agglomerative hierarchical approach to clustering starts with each observation as its own cluster and then continually groups the observations into increasingly larger groups. Higher Learning Institution (HLI) provides training to introduce final-year students to the real working environment. In this research will use Euclidean single linkage and complete linkage. MATLAB and HCE 3.5 software will used to train data and cluster course implemented during industrial training. This study indicates that different method will create a different number of clusters. Journal of Computing 2010 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1202/2/A_Comparative_Agglomerative_Hierarchical_Clustering_Method_to_Cluster_Implemented_Course.pdf Sembiring, Rahmat Widia and Jasni, Mohamad Zain and Abdullah, Embong (2010) A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course. Journal of Computing, 2 (12). pp. 33-38. ISSN ISSN 2151-9617 http://www.journalofcomputing.org/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Sembiring, Rahmat Widia Jasni, Mohamad Zain Abdullah, Embong A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
description	There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical type. The great majority of hierarchical approaches to the clustering of variables are of agglomerative nature. The agglomerative hierarchical approach to clustering starts with each observation as its own cluster and then continually groups the observations into increasingly larger groups. Higher Learning Institution (HLI) provides training to introduce final-year students to the real working environment. In this research will use Euclidean single linkage and complete linkage. MATLAB and HCE 3.5 software will used to train data and cluster course implemented during industrial training. This study indicates that different method will create a different number of clusters.
format	Article
author	Sembiring, Rahmat Widia Jasni, Mohamad Zain Abdullah, Embong
author_facet	Sembiring, Rahmat Widia Jasni, Mohamad Zain Abdullah, Embong
author_sort	Sembiring, Rahmat Widia
title	A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
title_short	A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
title_full	A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
title_fullStr	A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
title_full_unstemmed	A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
title_sort	comparative agglomerative hierarchical clustering method to cluster implemented course
publisher	Journal of Computing
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1202/ http://umpir.ump.edu.my/id/eprint/1202/ http://umpir.ump.edu.my/id/eprint/1202/2/A_Comparative_Agglomerative_Hierarchical_Clustering_Method_to_Cluster_Implemented_Course.pdf
first_indexed	2023-09-18T21:54:09Z
last_indexed	2023-09-18T21:54:09Z
_version_	1777413966407925760

A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course

Similar Items