Improved Fuzzy Clustering Algorithm Based on Intelligent Computing

FCM algorithm is easy to be affected by fuzzy parameters, initial clustering, noise, and because of the single iteration path, the phenomenon of local extremum can be generated. Although it was improvd by artificial bee colony algorithm, artificial bee colony has some shortcomings, such as the prema...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2017 International Conference on Robots & Intelligent System (ICRIS) s. 161 - 164
Hlavní autor: Zhu Tianyuan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2017
Témata:
artificial bee colony
clustering center
fuzzy c-means
Intelligent systems
Robots
Xenon
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract FCM algorithm is easy to be affected by fuzzy parameters, initial clustering, noise, and because of the single iteration path, the phenomenon of local extremum can be generated. Although it was improvd by artificial bee colony algorithm, artificial bee colony has some shortcomings, such as the premature convergence, low precision and slow convergence. A kind of improved artificial swarm algorithm based on improved search strategy is proposed and is also used in fuzzy c-means algorithm. The experiments based on UCI datasets show that this new algorithm overcomes the disadvanhges of FCM. Besides, it has higher clustering accuracy rate.
AbstractList FCM algorithm is easy to be affected by fuzzy parameters, initial clustering, noise, and because of the single iteration path, the phenomenon of local extremum can be generated. Although it was improvd by artificial bee colony algorithm, artificial bee colony has some shortcomings, such as the premature convergence, low precision and slow convergence. A kind of improved artificial swarm algorithm based on improved search strategy is proposed and is also used in fuzzy c-means algorithm. The experiments based on UCI datasets show that this new algorithm overcomes the disadvanhges of FCM. Besides, it has higher clustering accuracy rate.
Author Zhu Tianyuan
Author_xml – sequence: 1
  surname: Zhu Tianyuan
  fullname: Zhu Tianyuan
  email: jingwu_cps@sina.com
  organization: Zhuhai Coll., Jilin Univ. Comput. Sci. & Technol., Zhuhai, China
BookMark eNotjM1KxDAYACPoQdc9evKSF2jNlzb50uNucTWwIPhzXtI2qYE2LW0q7D69BT3NYYa5I9dhCJaQB2ApACuedPmuP1LOANMcr8i2QAUiUxI4x-KW7HU_TsOPbehhuVzOtOyWOdrJh5buunaYfPzu6d7MazAEqkO0XedbGyIth35c4hrekxtnutlu_7khX4fnz_I1Ob696HJ3TDygiInMRW0QKiELx0xTcZRSoBM5SA6VcaiaWoq8tjZXjMHqHVbMNRxBOsWrbEMe_77eWnsaJ9-b6XxSwCBDlv0CAj1GsQ
CODEN IEEPAD
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICRIS.2017.47
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781538612279
1538612275
EndPage 164
ExternalDocumentID 8101370
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i175t-645ca71b569f0adb276657f541621baf78dc654cee48001b27f7b0fd2716f82b3
IEDL.DBID RIE
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000417393800040&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Thu Jun 29 18:37:31 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-645ca71b569f0adb276657f541621baf78dc654cee48001b27f7b0fd2716f82b3
PageCount 4
ParticipantIDs ieee_primary_8101370
PublicationCentury 2000
PublicationDate 2017-Oct.
PublicationDateYYYYMMDD 2017-10-01
PublicationDate_xml – month: 10
  year: 2017
  text: 2017-Oct.
PublicationDecade 2010
PublicationTitle 2017 International Conference on Robots & Intelligent System (ICRIS)
PublicationTitleAbbrev ICRIS
PublicationYear 2017
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.6445405
Snippet FCM algorithm is easy to be affected by fuzzy parameters, initial clustering, noise, and because of the single iteration path, the phenomenon of local extremum...
SourceID ieee
SourceType Publisher
StartPage 161
SubjectTerms artificial bee colony
clustering center
fuzzy c-means
Intelligent systems
Robots
Xenon
Title Improved Fuzzy Clustering Algorithm Based on Intelligent Computing
URI https://ieeexplore.ieee.org/document/8101370
WOSCitedRecordID wos000417393800040&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFH_M4cGTyiZ-k4NHu7VpmqRHNyzuMoYfsNto86GD2cpsBffX-9KODsSLt5AEkpdA3vvlvfd7ADfcxLb-dI8CE3r4-lEvpr7yONXWGkm1ZLouNiGmUzmfx7MO3La5MMaYOvjMDFyz9uXrQlXuq2zoyKhCgQB9Twje5GrtaDOHk_Hj5MkFa4nBr2Ipta5IDv-3yhH0d0l3ZNaqk2PomLwHowb0G02SarP5JuNV5ZgNcAK5W70WiOzf3skINZEmRU4mLb9mSZpyDTixDy_J_fP4wduWPfCWqMtLj7NIpSLIIh5bP9UZFc47YiM0nWiQpVZIrXjEcDsMrb0Ax63IfKspQh8raRaeQDcvcnMKRMrQsCwNNHO0cIyh7aGV8kXKtUWcEpxBz8m_-GiYLRZb0c__7r6AA3e6TSjbJXTLdWWuYF99lcvP9XV9HT-acY3P
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFH6MKehJZRN_m4NHu7Vp2qRHVxwrzjF0wm6jbRIdzFZmK7i_3pd2bCBevIUkkF-Q977kve8DuPFVoKtHd89RroW3H7UCaqeWT6XWSlApmKzEJvhoJKbTYNyA200ujFKqCj5THVOs_vJlnpbmqaxryKhcjgB9xyhnrbO1tsSZ3Sh8ip5NuBbv_JJLqaxF_-B_4xxCe5t2R8Ybg3IEDZW1oFfDfiVJv1ytvkm4KA23AXYgd4vXHLH92zvpoS2SJM9ItGHYLEgt2IAd2_DSv5-EA2stfGDN0ZoXls-8NOZO4vmBtmOZUG7-R7SHzhN1klhzIVPfYzgdhv6eg-2aJ7aWFMGPFjRxj6GZ5Zk6ASKEq1gSO5IZYjjG0PuQaWrz2JcakYpzCi2z_tlHzW0xWy_97O_qa9gbTB6Hs2E0ejiHfbPTdWDbBTSLZakuYTf9Kuafy6vqaH4ALlmRGA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2017+International+Conference+on+Robots+%26+Intelligent+System+%28ICRIS%29&rft.atitle=Improved+Fuzzy+Clustering+Algorithm+Based+on+Intelligent+Computing&rft.au=Zhu+Tianyuan&rft.date=2017-10-01&rft.pub=IEEE&rft.spage=161&rft.epage=164&rft_id=info:doi/10.1109%2FICRIS.2017.47&rft.externalDocID=8101370