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
Link To Document :
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