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FUAT – A Fuzzy Clustering Analysis Tool

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Selman Bozkır
Selman Bozkır

For Full Paper: http://www.scribd.com/doc/64588432/FUAT-%E2%80%93-A-Fuzzy-Clustering-Analysis-Tool

TecnologíaEmpresariales
1 de 19
A. Selman BOZKIR - Ebru Akçapınar Sezer Hacettepe University – Computer Eng. Dept
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Perspective
Clustering ,[object Object]
Clustering (Schemas) ,[object Object],each data element belongs to exactly one cluster elements can belong to more than one cluster, and associated with each element is a set of membership levels .
Fuzzy c-means clustering ,[object Object],[object Object],[object Object],[object Object],[object Object]
FCM in Principle ,[object Object],[object Object],[object Object],[object Object]
Difficulties of Fuzzy c-means clustering ,[object Object],[object Object],[object Object],[object Object]
Solution: FUAT ,[object Object],[object Object]
FUAT – General Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
FUAT ,[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object]
References [1] Jingwei Liu, Meizhi Xu, Kernelized fuzzy attribute C-means clustering algorithm, Fuzzy Sets and Systems 159 (2008) 2428 – 2445 [2] Dae-Won Kim , Kwang H. Lee, Doheon Lee, A novel initialization scheme for the fuzzy c-means algorithm for color clustering, Pattern Recognition Letters 25 (2004) 227–237
[object Object],[object Object]

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FUAT – A Fuzzy Clustering Analysis Tool

  • 1. A. Selman BOZKIR - Ebru Akçapınar Sezer Hacettepe University – Computer Eng. Dept
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  • 18. References [1] Jingwei Liu, Meizhi Xu, Kernelized fuzzy attribute C-means clustering algorithm, Fuzzy Sets and Systems 159 (2008) 2428 – 2445 [2] Dae-Won Kim , Kwang H. Lee, Doheon Lee, A novel initialization scheme for the fuzzy c-means algorithm for color clustering, Pattern Recognition Letters 25 (2004) 227–237
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