DocumentCode
518992
Title
Research on application of cluster analyzing algorithm for image Indexing
Author
Li, Xiaoping ; Zhong, Ying ; Xu, Jianqiang ; Ling, Feng
Author_Institution
Dept. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
11-13 May 2010
Firstpage
370
Lastpage
374
Abstract
This paper provides a survey of current clustering analysis in image Indexing retrieval at first, then the problems to be solved and the new directions in the future in this domain are pointed out. In the end, it proposes a new clustering algorithm with the combination of k-means clustering algorithm , Genetic Algorithm and chaotic optimization a new idea of dimensionality reduction.
Keywords
genetic algorithms; image retrieval; pattern clustering; chaotic optimization; cluster analyzing algorithm; dimensionality reduction; genetic algorithm; image indexing retrieval; k-means clustering algorithm; Algorithm design and analysis; Chaos; Clustering algorithms; Computer science; Data mining; Genetic algorithms; Image analysis; Indexing; Partitioning algorithms; Shape measurement; Chaotic Optimization; Genetic Algorithm; Image Indexing; K-means clustering algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location
Gyeongju
Print_ISBN
978-1-4244-6982-6
Electronic_ISBN
978-89-88678-17-6
Type
conf
Filename
5488589
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