Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source

GA1+E1
......\Cluster.cpp
......\Cluster.h
......\Debug
......\.....\BuildLog.htm
......\.....\Cluster.obj
......\.....\K-Means.obj
......\.....\main.obj
......\.....\mt.dep
......\.....\Objects.obj
......\.....\PARTICLE.obj
......\.....\PSO.obj
......\.....\Semi-Supervised Clustering.exe
......\.....\Semi-Supervised Clustering.exe.intermediate.manifest
......\.....\Semi-Supervised Clustering.ilk
......\.....\Semi-Supervised Clustering.pdb
......\.....\vc80.idb
......\.....\vc80.pdb
......\K-Means.cpp
......\K-Means.h
......\main.cpp
......\Objects.cpp
......\Objects.h
......\PARTICLE.cpp
......\PARTICLE.h
......\PSO.cpp
......\PSO.h
......\Release
......\.......\BuildLog.htm
......\.......\Cluster.obj
......\.......\GA.obj
......\.......\K-Means.obj
......\.......\Objects.obj
......\.......\vc80.idb
......\.......\vc80.pdb
......\result.txt
......\result1.txt
......\Semi-Supervised Clustering.ncb
......\Semi-Supervised Clustering.sln
......\Semi-Supervised Clustering.vcproj
......\Semi-Supervised Clustering.vcproj.LENOVO-B854905E.Administrator.user
......\std.h
......\wine.txt
......\wine2.txt

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