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文件名称:ClusterAnalysis_2014.11.4

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    2016-08-09
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    32.02mb
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模式识别的聚类分析。K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了,每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。终止条件可以是没有(或最小数目)对象被重新分配给不同的聚类,没有(或最小数目)聚类中心再发生变化,误差平方和局部最小。-Pattern recognition clustering analysis. K-means clustering algorithm is to randomly K objects as the initial cluster centers. Then calculate the distance of each object and each seed cluster centers, assigning each object to its distance the nearest cluster center. Cluster centers and the object assigned to them on behalf of a cluster. Once all the objects are assigned, the cluster centers of each cluster will be recalculated based on the existing cluster object. This process is repeated until a termination condition is satisfied. Termination condition may not be (or smallest numbers) is reassigned to a different target cluster, no (or a minimum number) and then change the cluster centers, and a local minimum squared error.
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Caverage/
Caverage/Caverage/
Caverage/Caverage/Caverage.aps
Caverage/Caverage/Caverage.cpp
Caverage/Caverage/Caverage.h
Caverage/Caverage/Caverage.rc
Caverage/Caverage/Caverage.vcxproj
Caverage/Caverage/Caverage.vcxproj.filters
Caverage/Caverage/Caverage.vcxproj.user
Caverage/Caverage/CaverageDlg.cpp
Caverage/Caverage/CaverageDlg.h
Caverage/Caverage/Cluster_ISO.cpp
Caverage/Caverage/Cluster_ISO.h
Caverage/Caverage/Debug/
Caverage/Caverage/Debug/CL.read.1.tlog
Caverage/Caverage/Debug/CL.write.1.tlog
Caverage/Caverage/Debug/Caverage.exe.embed.manifest
Caverage/Caverage/Debug/Caverage.exe.embed.manifest.res
Caverage/Caverage/Debug/Caverage.exe.intermediate.manifest
Caverage/Caverage/Debug/Caverage.lastbuildstate
Caverage/Caverage/Debug/Caverage.log
Caverage/Caverage/Debug/Caverage.obj
Caverage/Caverage/Debug/Caverage.pch
Caverage/Caverage/Debug/Caverage.res
Caverage/Caverage/Debug/CaverageDlg.obj
Caverage/Caverage/Debug/Caverage_manifest.rc
Caverage/Caverage/Debug/Cluster_ISO.obj
Caverage/Caverage/Debug/cl.command.1.tlog
Caverage/Caverage/Debug/link-cvtres.read.1.tlog
Caverage/Caverage/Debug/link-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.3832-cvtres.read.1.tlog
Caverage/Caverage/Debug/link.3832-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.3832.read.1.tlog
Caverage/Caverage/Debug/link.3832.write.1.tlog
Caverage/Caverage/Debug/link.400-cvtres.read.1.tlog
Caverage/Caverage/Debug/link.400-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.400.read.1.tlog
Caverage/Caverage/Debug/link.400.write.1.tlog
Caverage/Caverage/Debug/link.5140-cvtres.read.1.tlog
Caverage/Caverage/Debug/link.5140-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.5140.read.1.tlog
Caverage/Caverage/Debug/link.5140.write.1.tlog
Caverage/Caverage/Debug/link.5324-cvtres.read.1.tlog
Caverage/Caverage/Debug/link.5324-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.5324.read.1.tlog
Caverage/Caverage/Debug/link.5324.write.1.tlog
Caverage/Caverage/Debug/link.6512-cvtres.read.1.tlog
Caverage/Caverage/Debug/link.6512-cvtres.write.1.tlog
Caverage/Caverage/Debug/link.6512.read.1.tlog
Caverage/Caverage/Debug/link.6512.write.1.tlog
Caverage/Caverage/Debug/link.command.1.tlog
Caverage/Caverage/Debug/link.read.1.tlog
Caverage/Caverage/Debug/link.write.1.tlog
Caverage/Caverage/Debug/mt.command.1.tlog
Caverage/Caverage/Debug/mt.read.1.tlog
Caverage/Caverage/Debug/mt.write.1.tlog
Caverage/Caverage/Debug/rc.command.1.tlog
Caverage/Caverage/Debug/rc.read.1.tlog
Caverage/Caverage/Debug/rc.write.1.tlog
Caverage/Caverage/Debug/stdafx.obj
Caverage/Caverage/Debug/vc100.idb
Caverage/Caverage/Debug/vc100.pdb
Caverage/Caverage/ReadMe.txt
Caverage/Caverage/res/
Caverage/Caverage/res/Caverage.ico
Caverage/Caverage/res/Caverage.rc2
Caverage/Caverage/resource.h
Caverage/Caverage/stdafx.cpp
Caverage/Caverage/stdafx.h
Caverage/Caverage/targetver.h
Caverage/Caverage.sdf
Caverage/Caverage.sln
Caverage/Caverage.suo
Caverage/Debug/
Caverage/Debug/Caverage.exe
Caverage/Debug/Caverage.ilk
Caverage/Debug/Caverage.pdb
Caverage/ipch/
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