文件名称:c++实现的KNN库:建立高维度的K-d tree
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- 上传时间:2012-09-28
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文件大小:610.07kb
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c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索,最小半径搜索-K-NN algorithm implementation.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
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下载文件列表
KNN/ann2fig/
KNN/ann2fig/ann2fig.cpp
KNN/ann2fig/Makefile
KNN/bin/
KNN/Copyright.txt
KNN/doc/
KNN/doc/ANNmanual.pdf
KNN/include/
KNN/include/ANN/
KNN/include/ANN/ANN.h
KNN/include/ANN/ANNperf.h
KNN/include/ANN/ANNx.h
KNN/lib/
KNN/License.txt
KNN/Make-config
KNN/Makefile
KNN/MS_Win32/
KNN/MS_Win32/Ann.sln
KNN/MS_Win32/Ann.sln.old
KNN/MS_Win32/ann2fig/
KNN/MS_Win32/ann2fig/ann2fig.vcproj
KNN/MS_Win32/ann2fig/ann2fig.vcproj.7.10.old
KNN/MS_Win32/bin/
KNN/MS_Win32/dll/
KNN/MS_Win32/dll/dll.vcproj
KNN/MS_Win32/dll/dll.vcproj.7.10.old
KNN/MS_Win32/Makefile
KNN/MS_Win32/sample/
KNN/MS_Win32/sample/sample.vcproj
KNN/MS_Win32/sample/sample.vcproj.7.10.old
KNN/MS_Win32/test/
KNN/MS_Win32/test/test.vcproj
KNN/MS_Win32/test/test.vcproj.7.10.old
KNN/ReadMe.txt
KNN/sample/
KNN/sample/ann_sample.cpp
KNN/sample/data.pts
KNN/sample/Makefile
KNN/sample/query.pts
KNN/sample/sample.save
KNN/src/
KNN/src/ANN.cpp
KNN/src/bd_fix_rad_search.cpp
KNN/src/bd_pr_search.cpp
KNN/src/bd_search.cpp
KNN/src/bd_tree.cpp
KNN/src/bd_tree.h
KNN/src/brute.cpp
KNN/src/kd_dump.cpp
KNN/src/kd_fix_rad_search.cpp
KNN/src/kd_fix_rad_search.h
KNN/src/kd_pr_search.cpp
KNN/src/kd_pr_search.h
KNN/src/kd_search.cpp
KNN/src/kd_search.h
KNN/src/kd_split.cpp
KNN/src/kd_split.h
KNN/src/kd_tree.cpp
KNN/src/kd_tree.h
KNN/src/kd_util.cpp
KNN/src/kd_util.h
KNN/src/Makefile
KNN/src/perf.cpp
KNN/src/pr_queue.h
KNN/src/pr_queue_k.h
KNN/test/
KNN/test/ann_test.cpp
KNN/test/Makefile
KNN/test/rand.cpp
KNN/test/rand.h
KNN/test/test1-data.pts
KNN/test/test1-query.pts
KNN/test/test1.in
KNN/test/test1.save
KNN/test/test2-data.pts
KNN/test/test2-query.pts
KNN/test/test2.in
KNN/test/test2.save
KNN/
KNN/ann2fig/ann2fig.cpp
KNN/ann2fig/Makefile
KNN/bin/
KNN/Copyright.txt
KNN/doc/
KNN/doc/ANNmanual.pdf
KNN/include/
KNN/include/ANN/
KNN/include/ANN/ANN.h
KNN/include/ANN/ANNperf.h
KNN/include/ANN/ANNx.h
KNN/lib/
KNN/License.txt
KNN/Make-config
KNN/Makefile
KNN/MS_Win32/
KNN/MS_Win32/Ann.sln
KNN/MS_Win32/Ann.sln.old
KNN/MS_Win32/ann2fig/
KNN/MS_Win32/ann2fig/ann2fig.vcproj
KNN/MS_Win32/ann2fig/ann2fig.vcproj.7.10.old
KNN/MS_Win32/bin/
KNN/MS_Win32/dll/
KNN/MS_Win32/dll/dll.vcproj
KNN/MS_Win32/dll/dll.vcproj.7.10.old
KNN/MS_Win32/Makefile
KNN/MS_Win32/sample/
KNN/MS_Win32/sample/sample.vcproj
KNN/MS_Win32/sample/sample.vcproj.7.10.old
KNN/MS_Win32/test/
KNN/MS_Win32/test/test.vcproj
KNN/MS_Win32/test/test.vcproj.7.10.old
KNN/ReadMe.txt
KNN/sample/
KNN/sample/ann_sample.cpp
KNN/sample/data.pts
KNN/sample/Makefile
KNN/sample/query.pts
KNN/sample/sample.save
KNN/src/
KNN/src/ANN.cpp
KNN/src/bd_fix_rad_search.cpp
KNN/src/bd_pr_search.cpp
KNN/src/bd_search.cpp
KNN/src/bd_tree.cpp
KNN/src/bd_tree.h
KNN/src/brute.cpp
KNN/src/kd_dump.cpp
KNN/src/kd_fix_rad_search.cpp
KNN/src/kd_fix_rad_search.h
KNN/src/kd_pr_search.cpp
KNN/src/kd_pr_search.h
KNN/src/kd_search.cpp
KNN/src/kd_search.h
KNN/src/kd_split.cpp
KNN/src/kd_split.h
KNN/src/kd_tree.cpp
KNN/src/kd_tree.h
KNN/src/kd_util.cpp
KNN/src/kd_util.h
KNN/src/Makefile
KNN/src/perf.cpp
KNN/src/pr_queue.h
KNN/src/pr_queue_k.h
KNN/test/
KNN/test/ann_test.cpp
KNN/test/Makefile
KNN/test/rand.cpp
KNN/test/rand.h
KNN/test/test1-data.pts
KNN/test/test1-query.pts
KNN/test/test1.in
KNN/test/test1.save
KNN/test/test2-data.pts
KNN/test/test2-query.pts
KNN/test/test2.in
KNN/test/test2.save
KNN/
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