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203266

A New Clustering Ensemble Framework

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Last updated: 28 Dec 2024

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Abstract

A new criterion for clusters validation is proposed in the paper and based on the new cluster validation criterion a clustering ensmble framework is proposed. The main idea behind the framework is to extract the most stable clusters in terms of the defined criteria. Employing this new cluster validation criterion, the obtained ensemble is evaluated on some well-known and standard data sets. The empirical studies show promising results for the ensemble obtained using the proposed criterion comparing with the ensemble obtained using the standard clusters validation criterion.

DOI

10.18576/ijlms/010103

Keywords

 Clustering Ensemble, Stability Measure, Cluster Evaluation

Authors

First Name

Hamid

Last Name

Parvin

MiddleName

-

Affiliation

Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran

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First Name

Hamid

Last Name

Alinejad-Rokny

MiddleName

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Affiliation

School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, The University of Newcastle, Callaghan, NSW, Australia 3Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, NSW, Australia

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Orcid

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First Name

Sajad

Last Name

Parvin

MiddleName

-

Affiliation

Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran

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Volume

1

Article Issue

1

Related Issue

27521

Issue Date

2013-01-01

Receive Date

2021-11-04

Publish Date

2013-01-01

Page Start

17

Page End

23

Print ISSN

2090-8466

Online ISSN

2090-8474

Article File

IJLMS_Volume 1_Issue 1_Pages 17-23.pdf

PDF . 531.0kB

Link

https://ijlms.journals.ekb.eg/article_203266.html

Detail API

https://ijlms.journals.ekb.eg/service?article_code=203266

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203,266

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Original Article

Type Code

2,015

Publication Type

Journal

Publication Title

International Journal of Learning Management Systems

Publication Link

https://ijlms.journals.ekb.eg/

MainTitle

A New Clustering Ensemble Framework

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Article

Created At

23 Jan 2023