登录
首页 » Python » KNN

KNN

于 2021-01-22 发布
0 257
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

  • knn
    knn-K近邻法实现两分类的函数代码,输入为两类的样本特征,和待测试的样本向量,输出为分类结果。(knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.)
    2010-08-02 08:40:44下载
    积分:1
  • Evolution-Strategies
    Evolution Strategies minimizes the objective function designated in ff
    2013-09-02 19:05:50下载
    积分:1
  • cordic
    用matlab中Simulink实现CORDIC算法的设计(use MATLAB (Simulink)to design the CORDIC algorithms)
    2012-03-15 22:51:43下载
    积分:1
  • daoxu
    说明:   用MATLAB编写的FFT程序,(MATLAB prepared by the FFT procedures,)
    2006-04-04 21:00:48下载
    积分:1
  • Clarke
    clarke信道模型的建模,在通信系统仿真中应用较为广泛(clarke channel modeling, simulation of the communication system is widely used)
    2010-07-08 14:09:50下载
    积分:1
  • OFDM)
    完美的OFDM仿真,可以应用于多种环境下的数据链路,并含有多种结果仿真(OFDM perfect simulation, can be applied to a variety of data link environment and contains a variety of simulation results)
    2008-05-14 11:15:52下载
    积分:1
  • wilson_koohi
    This m.file is intended to perform the numerical integration of a structural system subjected to an external dynamic excitation. The integration scheme utilized for this analysis is the newmark alpha-beta method.
    2010-01-24 01:29:28下载
    积分:1
  • matlab_FUNCTION
    说明:  MATLAB常用函数,包含常用的许多方面的功能,比较适用于初学者。(MATLAB FUNCTION)
    2011-04-01 12:56:31下载
    积分:1
  • imlook3dv12
    Display 3D Images Matlab三维图像显示(DICOM MR CT PET等) 2009年02月17日 MATLAB 7 (R14) 这是一个三维图像显示的Matlab实例程序。支持DICOM MR CT PET等图像格式。并且可以对每一帧进行图像处理,如直方图均衡、绘制,反色等。 (Display 3D Images Matlab three-dimensional image display (DICOM MR CT PET and so on) February 17, 2009 MATLAB 7 (R14) This is an example of three-dimensional image display of the Matlab programs. Support for DICOM MR CT PET and other image formats. And can carry out image processing for each frame such as histogram equalization, draw, color reverse.)
    2010-05-05 23:45:14下载
    积分:1
  • 608
    一种新的ABO编码算法实现,自适就二值优化,如果有人感兴趣可以一起学习(ABO a new coding algorithm, since an optimum value on the two, if someone is interested in learning together)
    2006-07-10 16:25:16下载
    积分:1
  • 696518资源总数
  • 106259会员总数
  • 28今日下载