Cluster_K-means
所属分类：人工智能/神经网络/深度学习
开发工具：Visual C++
文件大小：2828KB
下载次数：1
上传日期：2015-12-08 14:02:30
上 传 者：
yanxinican
说明： k中心算法的基本过程是:首先为每个簇随意选择一个代表对象，剩余的对象根据其与每个代表对象的距离（此处距离不一定是欧氏距离，也可能是曼哈顿距离）分配给最近的代表对象所代表的簇；然后反复用非代表对象来代替代表对象，以优化聚类质量。聚类质量用一个代价函数来表示。当一个中心点被某个非中心点替代时，除了未被替换的中心点外，其余各点被重新分配。
(The basic process k center algorithm is: First free to choose a delegate object for each cluster, the rest of the object based on its distance each of which represents the object (here the distance is not necessarily a Euclidean distance, Manhattan distance may be) allocated to Recently representatives object represents a cluster and then repeatedly with representatives of non-objects instead represents the object, in order to optimize the quality of clustering. Clustering quality is represented by a cost function. When a center is a non-center alternative, in addition to not replace the center, the rest of the points to be reallocated.)
文件列表:
Cluster_K-means (0, 2015-01-15)
Cluster_K-means\Cluster_K-means.sdf (7340032, 2015-01-15)
Cluster_K-means\Cluster_K-means.sln (975, 2015-01-15)
Cluster_K-means\Cluster_K-means.v12.suo (16384, 2015-01-15)
Cluster_K-means\Cluster_K-means.vcxproj (4091, 2015-01-15)
Cluster_K-means\Cluster_K-means.vcxproj.filters (945, 2015-01-15)
Cluster_K-means\Debug (0, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.exe (97280, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.ilk (1035008, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.log (101, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.pdb (1240064, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog (0, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\cl.command.1.tlog (592, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\CL.read.1.tlog (12538, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\CL.write.1.tlog (364, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\Cluster_K-means.lastbuildstate (163, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\link.command.1.tlog (1130, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\link.read.1.tlog (2508, 2015-01-15)
Cluster_K-means\Debug\Cluster_K-means.tlog\link.write.1.tlog (438, 2015-01-15)
Cluster_K-means\Debug\main.obj (263518, 2015-01-15)
Cluster_K-means\Debug\vc120.idb (273408, 2015-01-15)
Cluster_K-means\Debug\vc120.pdb (356352, 2015-01-15)
Cluster_K-means\main.cpp (2000, 2015-01-15)
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