DM_YeDan
所属分类：数值算法/人工智能
开发工具：Visual C++
文件大小：8005KB
下载次数：12
上传日期：2013-01-08 16:03:47
上 传 者：
dancy88927
说明： KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。
(KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 environment, with C++ language based KNN and K-means algorithm to achieve the classification and clustering of the Iris data set.)
文件列表:
DM_YeDan (0, 2013-01-08)
DM_YeDan\data.txt (3040, 2012-06-01)
DM_YeDan\Debug (0, 2013-01-08)
DM_YeDan\Debug\cl.command.1.tlog (492, 2012-06-14)
DM_YeDan\Debug\CL.read.1.tlog (11860, 2012-06-14)
DM_YeDan\Debug\CL.write.1.tlog (234, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.Build.CppClean.log (798, 2012-06-12)
DM_YeDan\Debug\DM_YeDan.exe (125952, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.exe.intermediate.manifest (381, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.ilk (742876, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.lastbuildstate (51, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.log (1918, 2012-06-14)
DM_YeDan\Debug\DM_YeDan.pdb (871424, 2012-06-14)
DM_YeDan\Debug\link.command.1.tlog (1098, 2012-06-14)
DM_YeDan\Debug\link.read.1.tlog (2460, 2012-06-14)
DM_YeDan\Debug\link.write.1.tlog (480, 2012-06-14)
DM_YeDan\Debug\main.obj (382305, 2012-06-14)
DM_YeDan\Debug\mt.command.1.tlog (402, 2012-06-14)
DM_YeDan\Debug\mt.read.1.tlog (770, 2012-06-14)
DM_YeDan\Debug\mt.read.2.tlog (6962, 2012-06-14)
DM_YeDan\Debug\mt.write.1.tlog (224, 2012-06-14)
DM_YeDan\Debug\vc100.idb (273408, 2012-06-14)
DM_YeDan\Debug\vc100.pdb (274432, 2012-06-14)
DM_YeDan\DM_YeDan.sdf (8343552, 2012-06-14)
DM_YeDan\DM_YeDan.sln (882, 2012-06-10)
DM_YeDan\DM_YeDan.suo (17920, 2012-06-14)
DM_YeDan\DM_YeDan.vcxproj (3222, 2012-06-10)
DM_YeDan\DM_YeDan.vcxproj.filters (942, 2012-06-10)
DM_YeDan\DM_YeDan.vcxproj.user (143, 2012-06-10)
DM_YeDan\ipch (0, 2012-06-15)
DM_YeDan\ipch\dm_yedan-5bdf8bbd (0, 2013-01-08)
DM_YeDan\ipch\dm_yedan-5bdf8bbd\dm_yedan-41bd75ad.ipch (25755648, 2012-06-14)
DM_YeDan\main.cpp (8818, 2012-06-14)
近期下载者：
相关文件：
收藏者：