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  • Category : DataMining
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  • Update : 2015-09-03
  • Size : 10.61mb
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  • Author :taosh*****
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Introduction - If you have any usage issues, please Google them yourself
R tree is one of GUTTMAN first proposed in 1984 to support an orderly expansion of the Object Access Method, is currently the most widely used of a spatial index structure for the application of the information.
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Rtree\Data10.asc
.....\Data20.asc
.....\.ebug\Rtree.exe
.....\.....\Rtree.ilk
.....\.....\Rtree.pdb
.....\NoiseModel1.asc
.....\Rtree\Data1.asc
.....\.....\Data10.asc
.....\.....\Data2.asc
.....\.....\Data20.asc
.....\.....\Data3.asc
.....\.....\Data3_14_8.asc
.....\.....\Data3_18_8.asc
.....\.....\Data4.asc
.....\.....\Data4_14_8.asc
.....\.....\Data4_18_8.asc
.....\.....\.ebug\BuildLog.htm
.....\.....\.....\mt.dep
.....\.....\.....\Rtree.exe.embed.manifest
.....\.....\.....\Rtree.exe.embed.manifest.res
.....\.....\.....\Rtree.exe.intermediate.manifest
.....\.....\.....\RTree.obj
.....\.....\.....\TestNoise.obj
.....\.....\.....\vc90.idb
.....\.....\.....\vc90.pdb
.....\.....\density
.....\.....\density0
.....\.....\RTree.cpp
.....\.....\RTree.h
.....\.....\Rtree.vcproj
.....\.....\Rtree.vcproj.QIANG-PC.Qiang.user
.....\.....\Rtree.vcproj.rjh-PC.rjh.user
.....\.....\test.cpp
.....\.....\TestNoise.cpp
.....\Rtree.ncb
.....\Rtree.sln
.....\Rtree.suo
.....\.....\Debug
.....\Debug
.....\Rtree
Rtree
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