Publication:
A Web Based Clustering Analysis Toolbox (WBCA) design Using MATLAB

dc.contributor.authorYILDIZ, KAZIM
dc.contributor.authorSAVAŞ, KENAN
dc.contributor.authorsSavas, Kenan; Yildiz, Kazim
dc.contributor.editorUzunboylu, H
dc.date.accessioned2022-03-12T04:15:35Z
dc.date.accessioned2026-01-11T06:57:35Z
dc.date.available2022-03-12T04:15:35Z
dc.date.issued2010
dc.description.abstractWith the development technology, datas which are saved in databases are rising, useful methods and kind of algorithms for making employable data and are build up for processing. For the solution of this problem data mining tools come into existence, to which clustering algorithms belong. For the clustering area this paper supposed to aid education, the tool was designed for clustering algorithms used easy and effective, cut down of the time that is making programme by the students so with the using of data sets that belongs to students, results of the clustering that was supported graphical items shown with the help of user interface and clustering must be so effective and easy. Purpose of this paper, MATLAB software that is used common by the academic area, making web based toolbox using clustering algorithms for the user. This toolbox use kmeans, agnes, fuzzy cmeans algorithms that are exist in MATLAB software and available web interface for the evaluate clustering results with cluster validity criteria. By courtesy of the toolbox, web user that do not need to have MATLAB software and programming knowledge but only a web browser and they can load their own data into the web server then see the result by the chose of algorithm and download the results their own local computers. In this design MATLAB Web Server (MWS) was used that belong to MATLAB software. With the help of this tool web users can send the parameters to server via the internet and the computer that has on the MWS software, used this then working MWS that is developed in this paper, results can have seen with the web server (C) 2010 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.sbspro.2010.03.860
dc.identifier.issn1877-0428
dc.identifier.urihttps://hdl.handle.net/11424/223246
dc.identifier.wosWOS:000282002805041
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofINNOVATION AND CREATIVITY IN EDUCATION
dc.relation.ispartofseriesProcedia Social and Behavioral Sciences
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectClustering
dc.subjectMatlab Web Server
dc.subjectMWS
dc.subjectclustering algorithm
dc.subjectcluster validation
dc.subjectuser based clustering
dc.titleA Web Based Clustering Analysis Toolbox (WBCA) design Using MATLAB
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage5280
oaire.citation.issue2
oaire.citation.startPage5276
oaire.citation.titleINNOVATION AND CREATIVITY IN EDUCATION
oaire.citation.volume2

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