DocumentCode :
2866729
Title :
Notice of Retraction
A Hybrid Tree Spatial Indexing Method Based on the Clustering Algorithm
Author :
Jianhong Yang ; Jiangbo-Shu ; Chunxiu-Xiong ; Xing-Zhou
Author_Institution :
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The paper first to carry on three clustering divisions to the spatial objects using the improved TGSOM algorithm, and obtains a series of similar nodes which contain the spatial objects of which have the same quantity and the same area on the whole, as well as a few noise spots which do not belong to any similar nodes, and then constitutes the dendritic structure after removing the noise spots; afterwards, optimize for the dendritic structure using the mixed structure based on the quad-division and the R* tree, which has eliminated the overlapping and coverage factors to the nodes, and has improved the retrieval efficiency of the mass data; Finally it has proved the validity and accuracy of the method through the experiment.
Keywords :
indexing; information retrieval; pattern clustering; tree data structures; R* tree structure; clustering algorithm; hybrid tree spatial indexing method; improved TGSOM algorithm; retrieval efficiency; Clustering algorithms; Computer science; Data engineering; Indexes; Indexing; Information retrieval; Optimization methods; Performance analysis; Shape; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5366391
Filename :
5366391
Link To Document :
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