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Comparison of K-Means and Fuzzy C-Means Algorithms on Different Cluster Structures

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Identifier : Catalog : URI
Entry : http://journal.magisz.org/index.php/jai/article/download/196/pdf_196
Title : English Comparison of K-Means and Fuzzy C-Means Algorithms on Different Cluster Structures
Turkish K-Ortalamalar ve Bulanık C-Ortalamalar Algoritmalarının Farklı Küme Yapıları İçin Karşılaştırılması
Language : English English

Descriptions : English In this paper the K-means (KM) and the Fuzzy C-means (FCM) algorithms were compared for their computing performance and clustering accuracy on different shaped cluster structures which are regularly and irregularly scattered in two dimensional space. While the accuracy of the KM with single pass was lower than those of the FCM, the KM with multiple starts showed nearly the same clustering accuracy with the FCM. Moreover the KM with multiple starts was extremely superior to the FCM in computing time in all datasets analyzed. Therefore, when well separated cluster structures spreading with regular patterns do exist in datasets the KM with multiple starts was recommended for cluster analysis because of its comparable accuracy and runtime performances.
Turkish Bu makalede K-Ortalamalar (KO) ve Bulanık C-Ortalamalar (BCO) algoritmalarının düzenli ve düzensiz olarak iki boyutlu uzayda dağılış gösteren farklı şekillerde küme yapılarında hesaplama performansı ve kümeleme geçerliliği açısından karşılaştırılması yapılmıştır. Tek geçişli KO'nun kümeleme geçerliliği BCO'dan daha düşük olmasına karşın çoklu geçişle KO'nun BCO'nunkiyle yaklaşık olarak aynı düzeyde bulunmuştur. Ayruca çok geçişli KO'nun analiz edilen tüm veri setlerinde BCO'dan çok fazla yüksek saptanmıştır. Bu nedenle, düzenli dağılış gösteren veri setlerinde BCO'ya göre kümeleme geçerliliği ve hesaplama performansı açısından çok geçişli KO'nun kullanılması önerilmiştir.
Keywords : English fuzzy c-means
English k-means
English soft clustering
English hard clustering
Turkish bulanık c-ortalamalar
Turkish k-ortalamalar
Turkish yumuşak kümeleme
Turkish sert kümeleme
Coverage : World
Structure : Atomic
Aggregation Level : Level 1
Version : English JAI, 2015
Status : Final
Contribute : Role : Publisher
Date : 2015-10-12
name : Journal of Agricultural Informatics
e-mail : JAI-L@agr.unideb.hu
organization : Hungarian Association of Agricultural Informatics


Identifier : Catalog : URI
Entry : http://traglor.cu.edu.tr/common/object_xml.aspx?id=1948
Contribute : Role : Initiator
Date : 2015-10-15
name : Zeynel Cebeci
e-mail : cebeciz@gmail.com
organization : Çukurova Üniversitesi Ziraat Fakültesi Biyometri ve Genetik Anabilim Dalı
Metadata Schema : TrAgLor LOM AP
Language : Turkish Turkish
Format : Text
Requirements : Operating System: Multios
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Browser: Any
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Duration : Year : 0 Month : 0 Day : 0 Hour : 0 Minutes : 0
Size : 1363968 bytes
Location : http://journal.magisz.org/index.php/jai/article/download/196/pdf_196
Interactivity Type : Expositive
Learning Resource Type : Research
Interactivity Level : Low
Semantic Density : High
Intended End User Role : Other
Context : University Postgraduate
Typical Age Range : Turkish 18Ü
Difficulty Level : Difficult
Duration : Year : 0 Month : 0 Day : 2 Hour : 0 Minutes : 0
Description :
Cost : No
Copyright and Other Restrictions : Yes
Description : This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Kind : IsPartOf
Resource : Catalog : URI
Entry : http://journal.magisz.org/index.php/jai/article/view/196
Description : English Journal of Agricultural Informatics (ISSN 2061-862X) 2015 Vol. 6, No. 3:13-23
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e-mail :
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Date :
Description :
Purpose : Discipline
Source : English AGRICOLA
Entry : Mathematics and Statistics
Description :
Keywords : English cluster analysis
English data mining