登录
首页 » Python » KNN

KNN

于 2021-01-22 发布
0 250
下载积分: 1 下载次数: 1

代码说明:

说明:  完成KNN聚类,是一种比较基础的聚类算法,根据与邻居之间的距离判断(finish knn cluster,it is a basic function,you can use it to complish a cluster)

文件列表:

KNN\.idea\.gitignore, 50 , 2020-11-01
KNN\.idea\inspectionProfiles\profiles_settings.xml, 174 , 2020-11-01
KNN\.idea\KNN.iml, 291 , 2020-11-01
KNN\.idea\misc.xml, 195 , 2020-11-01
KNN\.idea\modules.xml, 265 , 2020-11-01
KNN\.idea\workspace.xml, 5905 , 2020-11-02
KNN\datingTestSet.txt, 35725 , 2012-03-01
KNN\datingTestSet2.txt, 27067 , 2012-03-01
KNN\KNN_classify.py, 5532 , 2020-11-02
KNN\main.py, 544 , 2020-11-01
KNN\testDigits\0_0.txt, 1088 , 2010-10-07
KNN\testDigits\0_1.txt, 1088 , 2010-10-07
KNN\testDigits\0_10.txt, 1088 , 2010-10-07
KNN\testDigits\0_11.txt, 1088 , 2010-10-07
KNN\testDigits\0_12.txt, 1088 , 2010-10-07
KNN\testDigits\0_13.txt, 1088 , 2010-10-07
KNN\testDigits\0_14.txt, 1088 , 2010-10-07
KNN\testDigits\0_15.txt, 1088 , 2010-10-07
KNN\testDigits\0_16.txt, 1088 , 2010-10-07
KNN\testDigits\0_17.txt, 1088 , 2010-10-07
KNN\testDigits\0_18.txt, 1088 , 2010-10-07
KNN\testDigits\0_19.txt, 1088 , 2010-10-07
KNN\testDigits\0_2.txt, 1088 , 2010-10-07
KNN\testDigits\0_20.txt, 1088 , 2010-10-07
KNN\testDigits\0_21.txt, 1088 , 2010-10-07
KNN\testDigits\0_22.txt, 1088 , 2010-10-07
KNN\testDigits\0_23.txt, 1088 , 2010-10-07
KNN\testDigits\0_24.txt, 1088 , 2010-10-07
KNN\testDigits\0_25.txt, 1088 , 2010-10-07
KNN\testDigits\0_26.txt, 1088 , 2010-10-07
KNN\testDigits\0_27.txt, 1088 , 2010-10-07
KNN\testDigits\0_28.txt, 1088 , 2010-10-07
KNN\testDigits\0_29.txt, 1088 , 2010-10-07
KNN\testDigits\0_3.txt, 1088 , 2010-10-07
KNN\testDigits\0_30.txt, 1088 , 2010-10-07
KNN\testDigits\0_31.txt, 1088 , 2010-10-07
KNN\testDigits\0_32.txt, 1088 , 2010-10-07
KNN\testDigits\0_33.txt, 1088 , 2010-10-07
KNN\testDigits\0_34.txt, 1088 , 2010-10-07
KNN\testDigits\0_35.txt, 1088 , 2010-10-07
KNN\testDigits\0_36.txt, 1088 , 2010-10-07
KNN\testDigits\0_37.txt, 1088 , 2010-10-07
KNN\testDigits\0_38.txt, 1088 , 2010-10-07
KNN\testDigits\0_39.txt, 1088 , 2010-10-07
KNN\testDigits\0_4.txt, 1088 , 2010-10-07
KNN\testDigits\0_40.txt, 1088 , 2010-10-07
KNN\testDigits\0_41.txt, 1088 , 2010-10-07
KNN\testDigits\0_42.txt, 1088 , 2010-10-07
KNN\testDigits\0_43.txt, 1088 , 2010-10-07
KNN\testDigits\0_44.txt, 1088 , 2010-10-07
KNN\testDigits\0_45.txt, 1088 , 2010-10-07
KNN\testDigits\0_46.txt, 1088 , 2010-10-07
KNN\testDigits\0_47.txt, 1088 , 2010-10-07
KNN\testDigits\0_48.txt, 1088 , 2010-10-07
KNN\testDigits\0_49.txt, 1088 , 2010-10-07
KNN\testDigits\0_5.txt, 1088 , 2010-10-07
KNN\testDigits\0_50.txt, 1088 , 2010-10-07
KNN\testDigits\0_51.txt, 1088 , 2010-10-07
KNN\testDigits\0_52.txt, 1088 , 2010-10-07
KNN\testDigits\0_53.txt, 1088 , 2010-10-07
KNN\testDigits\0_54.txt, 1088 , 2010-10-07
KNN\testDigits\0_55.txt, 1088 , 2010-10-07
KNN\testDigits\0_56.txt, 1088 , 2010-10-07
KNN\testDigits\0_57.txt, 1088 , 2010-10-07
KNN\testDigits\0_58.txt, 1088 , 2010-10-07
KNN\testDigits\0_59.txt, 1088 , 2010-10-07
KNN\testDigits\0_6.txt, 1088 , 2010-10-07
KNN\testDigits\0_60.txt, 1088 , 2010-10-07
KNN\testDigits\0_61.txt, 1088 , 2010-10-07
KNN\testDigits\0_62.txt, 1088 , 2010-10-07
KNN\testDigits\0_63.txt, 1088 , 2010-10-07
KNN\testDigits\0_64.txt, 1088 , 2010-10-07
KNN\testDigits\0_65.txt, 1088 , 2010-10-07
KNN\testDigits\0_66.txt, 1088 , 2010-10-07
KNN\testDigits\0_67.txt, 1088 , 2010-10-07
KNN\testDigits\0_68.txt, 1088 , 2010-10-07
KNN\testDigits\0_69.txt, 1088 , 2010-10-07
KNN\testDigits\0_7.txt, 1088 , 2010-10-07
KNN\testDigits\0_70.txt, 1088 , 2010-10-07
KNN\testDigits\0_71.txt, 1088 , 2010-10-07
KNN\testDigits\0_72.txt, 1088 , 2010-10-07
KNN\testDigits\0_73.txt, 1088 , 2010-10-07
KNN\testDigits\0_74.txt, 1088 , 2010-10-07
KNN\testDigits\0_75.txt, 1088 , 2010-10-07
KNN\testDigits\0_76.txt, 1088 , 2010-10-07
KNN\testDigits\0_77.txt, 1088 , 2010-10-07
KNN\testDigits\0_78.txt, 1088 , 2010-10-07
KNN\testDigits\0_79.txt, 1088 , 2010-10-07
KNN\testDigits\0_8.txt, 1088 , 2010-10-07
KNN\testDigits\0_80.txt, 1088 , 2010-10-07
KNN\testDigits\0_81.txt, 1088 , 2010-10-07
KNN\testDigits\0_82.txt, 1088 , 2010-10-07
KNN\testDigits\0_83.txt, 1088 , 2010-10-07
KNN\testDigits\0_84.txt, 1088 , 2010-10-07
KNN\testDigits\0_85.txt, 1088 , 2010-10-07
KNN\testDigits\0_86.txt, 1088 , 2010-10-07
KNN\testDigits\0_9.txt, 1088 , 2010-10-07
KNN\testDigits\1_0.txt, 1088 , 2010-10-07
KNN\testDigits\1_1.txt, 1088 , 2010-10-07
KNN\testDigits\1_10.txt, 1088 , 2010-10-07

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • seg2
    地震数据读取程序,matlab编写,可以实现seg2格式的读取(to read Seismic data of seg2 format ,Matlab。)
    2012-04-14 09:39:45下载
    积分:1
  • voicebox
    matlab voicebox工具箱 函数比较全 matlab voicebox toolbox function more and more to the point of total sub-Bar Moderator(matlab voicebox toolbox function compares the matlab voicebox toolbox function more and more to the point of total sub-Bar Moderator)
    2013-03-04 20:29:21下载
    积分:1
  • poster_ICSB09_SensSB_MRF
    sensitivity calculus : output variation vs parameter variation
    2013-08-28 21:27:50下载
    积分:1
  • matlab
    与matlab宝典一书配套的源代码,里面包含了书上相应章节的源代码文件(Matlab canon book supporting source code, which contains the source code file of the corresponding chapter in the book)
    2013-03-13 18:54:08下载
    积分:1
  • fulldyn.tar
    这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)
    2007-10-29 12:08:54下载
    积分:1
  • Random-Forest-Matlab-master
    This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.
    2014-08-15 02:47:54下载
    积分:1
  • simulink
    Using Simulink Simulink is a software package for modeling, simulating, and analyzing dynamical systems. It supports linear and nonlinear systems, modeled in continuous time, sampled time, or a hybrid of the two. Systems can also be multirate, i.e., have different parts that are sampled or updated at different rates
    2009-11-18 03:26:27下载
    积分:1
  • HMIPv6_Overhead
    MATLAB模型:HMIPv6的额外开销(MATLAB model: in HMIPv6 overhead)
    2012-07-05 18:17:19下载
    积分:1
  • fisher
    利用fisher方法实现手写体数字多分类识别,采用mnist数据集(simple program using fisher)
    2020-10-27 01:59:59下载
    积分:1
  • intersections
    一直任意两条线,可以是直线也可以使曲线,求这两条线的交点(intersection of two curves)
    2009-10-08 16:09:04下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载