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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/ce@80/2007/01.24.02.28   (restricted access)
Last Update2007:04.08.01.59.18 (UTC) administrator
Metadata Repositorydpi.inpe.br/ce@80/2007/01.24.02.28.36
Metadata Last Update2018:06.05.03.33.49 (UTC) administrator
Citation KeyJianbinJieYunf:2007:NeAnCl
TitleA new Ant-based Clustering Algorithm on High Dimensional Data Space
FormatPrint; CD-ROM; On-line.
Year2007
Access Date2024, May 06
Secondary TypeCI
Number of Files3
Size1335 KiB
2. Context
Author1 Jianbin, Chen
2 Jie, Sun
3 Yunfei, Chen
Affiliation1 Business College of Beijing Union University, Beijing, China
2 Business College of Beijing Union University, Beijing, China
3 Business College of Beijing Union University, Beijing, China
Author e-Mail Address1 jianbin.chen@bcbuu.edu.cn
2 Jie.sun@bcbuu.edu.cn
3 yunfei@bcbuu.edu.cn
EditorLoureiro, Geilson
Curran, Ricky
e-Mail Addressjianbin.chen@bcbuu.edu.cn
Conference NameISPE International Conference on Concurrent Engineering, 14 (CE 2007).
Conference LocationSão Jos¨¦ dos Campos
Date2007, July 16-20
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages589-595
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2007-03-04 01:21:40 :: jianbin.chen@bcbuu.edu.cn -> ce2007 ::
2007-03-07 19:02:53 :: ce2007 -> jianbin.chen@bcbuu.edu.cn ::
2007-03-09 14:52:36 :: jianbin.chen@bcbuu.edu.cn -> ce2007 ::
2007-03-30 19:56:32 :: ce2007 -> jianbin.chen@bcbuu.edu.cn ::
2007-04-07 15:11:43 :: jianbin.chen@bcbuu.edu.cn -> ce2007 ::
2007-04-12 21:44:31 :: ce2007 -> administrator ::
2007-05-18 15:22:47 :: administrator -> ce2007 ::
2007-05-21 19:34:49 :: ce2007 -> administrator ::
2007-12-04 15:46:07 :: administrator -> jianbin.chen@bcbuu.edu.cn ::
2007-12-04 19:49:59 :: jianbin.chen@bcbuu.edu.cn -> administrator ::
2018-06-05 03:33:49 :: administrator -> marciana :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsAnt-based heuristic
clustering
High-dimensional data space
AbstractAnt-based clustering due to its flexibility, stigmergic and self-organization has been applied in a variety areas from problems arising in commerce, to circuit design, and to text-mining, etc. A new ant-based clustering method named AMC algorithm has been presented in this paper. Firstly, an artificial ant movement(AM) model is presented; secondly, the new ant clustering algorithm has been constructed based on AM model. In this algorithm, each ant is treated as an agent to represent a data object, each ant has two states: resting state and moving state. The ants state is controlled by two predefined functions. By moving dynamically, the ants form different subgroups adaptively, and consequently the whole ant group dynamically self-organized into distinctive and independent subgroups within which highly similar ants are closely connected. The result of data objects clustering is therefore achieved. This algorithm can be accelerated by the use of a global memory bank, increasing radius of perception and density-based look ahead method for each agent. Experimental results show that the AMC algorithm is much superior to other ant clustering methods. It is adaptive, robust and efficient, and achieves high autonomy, simplicity and efficiency. It is suitable for solving high dimensional and complicated clustering problems.
AreaETES
TypeTechnology for Collaborative Engineering
doc Directory Contentaccess
source Directory Content
ant clustering-ce2007.rar 09/03/2007 11:52 1.1 MiB
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filepaper.pdf
User Groupadministrator
jianbin.chen@bcbuu.edu.cn
administrator
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Mark1
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