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K-Mean clustering simulation using C programming

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Main Author: Mohammad Isa, Ahmad Azan
Other Authors: Ahmad Husni Mohd Shapri
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2015
Subjects:
Clustering
K-means clustering
Algorithm
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40205
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spelling my.unimap-402052015-06-23T07:54:54Z K-Mean clustering simulation using C programming Mohammad Isa, Ahmad Azan Ahmad Husni Mohd Shapri Clustering K-means clustering Algorithm Access is limited to UniMAP community. At present, an analysis of the data or information is important in determining or divides into several clusters. Clustering method is one way how to analyze the static data that is used in various fields, including machine learning, data mining, pattern recognition, image analysis, information retrieval, and bioinformatics. Clustering is a common technique and unsurpervised learning. In addition, other terms of similar meaning to the clustering are automatic classification, numerical taxonomy, botryology and typological analysis. In the clustering there are various methods that can be used, one of which is the K-mean clustering algorithm. This algorithm is simple and easy to understand and is a popular algorithm used. In the K-mean clustering, data sets will be divided into clusters that have been determined. Where K is the number of clusters needed to analyze the data, the cluster formed by the closest distance to the centroid of the set. Therefore, applications such as simulation tool to run the K-mean clustering algorithm are very high. Thus, this simulation tool used to evaluate the efficiency and effectiveness of Kmean clustering algorithm. 2015-06-23T07:54:54Z 2015-06-23T07:54:54Z 2011-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40205 en Universiti Malaysia Perlis (UniMAP) School of Microelectronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Clustering
K-means clustering
Algorithm
spellingShingle Clustering
K-means clustering
Algorithm
Mohammad Isa, Ahmad Azan
K-Mean clustering simulation using C programming
description Access is limited to UniMAP community.
author2 Ahmad Husni Mohd Shapri
author_facet Ahmad Husni Mohd Shapri
Mohammad Isa, Ahmad Azan
format Learning Object
author Mohammad Isa, Ahmad Azan
author_sort Mohammad Isa, Ahmad Azan
title K-Mean clustering simulation using C programming
title_short K-Mean clustering simulation using C programming
title_full K-Mean clustering simulation using C programming
title_fullStr K-Mean clustering simulation using C programming
title_full_unstemmed K-Mean clustering simulation using C programming
title_sort k-mean clustering simulation using c programming
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40205
_version_ 1643799297005715456
score 13.149126

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