%clear
clear;close?all;clc

%load?data

train_data=load（‘train.csv‘）;
[mn]=size（train_data）;

trainY=train_data（:1）;
trainX=train_data（:2:n）;
[mn]=size（trainX）;


fprintf（‘Load?the?train?data.Finished??%d*%d?Matrix‘mn）;

test_data=load（‘test.csv‘）;
testX=test_data（::）;
[testmtestn]=size（testX）;
fprintf（‘Load?the?test?data.Finished?.?%d*%d?Matrix‘testmtestn）;

%realize?knn?algorithm
result=zeros（testm1）;
num=10;%choose?10?neigborhood
for?testi=1:testm
????hasnum=1;
????bestdistance=zeros（num1）;
????bestresult=zeros（num1）;
????for?traini=1:m
????????distance=sqrt（sum（（testX（testi:）-trainX（traini:））.*（testX（testi:）-trainX（traini:））））;
????????if?hasnum<=num
????????????bestdistance（hasnum1）=distance;
????????????bestresult（hasnum1）=trainY（traini）;
????????????hasnum=hasnum+1;
????????elseif?max（bestdistance）>distance
????????????[mn]=max（bestdistance）;
????????????bestdistance（n）=distance;
????????????bestresult（n）=trainY（traini）;
????????????%next
????????end
????end
????%choose?the?result
????digit=zeros（101）;
????for?label=1:num
???????????digit（bestresult（label）+1）=digit（bestresult（label）+1）+1;
????end
????[rmrindex]=max（digit）;
????result（testi）=rindex-1;
end

%write?the?result?to?file

fprintf（‘write?the?answer?to?csv?file....‘）;
csvwrite（‘knn_20120926_1628.csv‘result）;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????1375??2011-09-26?17:08??knn\knntest.asv

?????文件???????1376??2011-09-26?19:03??knn\knntest.m

?????文件??????84000??2011-09-26?20:31??knn\knn_20120926_1628.csv

?????目錄??????????0??2012-10-16?15:50??knn

-----------?---------??----------?-----??----

????????????????86751????????????????????4