from?numpy?import?*
import?matplotlib.pyplot?as?plt
def?loadDataSet（fileName）:??????#general?function?to?parse?tab?-delimited?floats
????dataMat?=?[]????????????????#assume?last?column?is?target?value
????fr?=?open（fileName）
????for?line?in?fr.readlines（）:
????????curLine?=?line.strip（）.split（‘\t‘）
????????fltLine?=?map（floatcurLine）?#map?all?elements?to?float（）
????????dataMat.append（fltLine）
????return?dataMat

def?distEclud（vecA?vecB）:
????return?sqrt（sum（power（vecA?-?vecB?2）））?#la.norm（vecA-vecB）

def?randCent（dataSet?k）:
????n?=?shape（dataSet）[1]
????centroids?=?mat（zeros（（kn）））#create?centroid?mat
????for?j?in?range（n）:#create?random?cluster?centers?within?bounds?of?each?dimension
????????minJ?=?min（array（dataSet）[:j]）
????????
????????rangeJ?=?float（max（array（dataSet）[:j]）?-

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

?????文件???????3225??2016-02-20?09:33??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\K-maeans\K-means.py

?????文件????????302??2016-02-20?12:52??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\K-maeans\Readme.txt

?????文件??????19472??2014-09-25?20:34??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\K-maeans\testSet.txt

?????文件???????1737??2016-02-20?13:46??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\KNN\knn.py

?????文件????????312??2016-02-20?14:03??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\KNN\Readme.txt

?????文件???????3788??2010-11-01?15:09??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\horseColicTest.txt

?????文件??????60655??2010-11-01?14:56??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\horseColicTraining.txt

?????文件???????6402??2016-02-20?14:43??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\lr.py

?????文件???????7090??2016-02-20?14:43??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\lr.pyc

?????文件????????549??2016-02-20?14:41??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\LRClassifier150.json

?????文件???????1977??2016-02-20?14:45??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\main.py

?????文件???????2723??2016-02-20?14:43??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\object_json.py

?????文件???????3789??2016-02-20?14:43??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\object_json.pyc

?????文件????????435??2016-02-20?14:50??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\LogisticRegression\Readme.txt

?????文件????????381??2014-11-03?17:02??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\PageRank\changeT.m

?????文件????????326??2016-02-20?10:40??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\PageRank\data.mat

?????文件????????376??2016-02-20?10:44??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\PageRank\main.m

?????文件????????395??2014-11-10?17:35??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\PageRank\PageRank.m

?????文件????????333??2016-02-20?10:52??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\PageRank\Readme.txt

?????文件????????670??2016-02-20?14:09??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\data\out.csv

?????文件???????2958??2015-11-24?20:47??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\data\test_x.csv

?????文件??????13282??2016-02-20?14:09??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\data\train_x.csv

?????文件???????2245??2016-02-20?14:09??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\data\train_y.csv

?????文件????????840??2016-02-20?14:13??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\randomforest.py

?????文件????????393??2016-02-20?14:16??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\RandomForest\Readme.txt

?????文件????????346??2016-02-20?12:36??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\SVM\Readme.txt

?????文件???????1564??2016-02-20?12:30??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\SVM\svm.m

?????文件??????20168??2010-01-30?18:38??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\SVM\wine.mat

?????文件??????25590??2005-08-06?20:13??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\WEKA和SPSS的數(shù)據(jù)集\SPSS數(shù)據(jù)集\data02-01.sav

?????文件????????659??2004-03-18?08:34??數(shù)據(jù)挖掘常用算法+代碼+數(shù)據(jù)\WEKA和SPSS的數(shù)據(jù)集\SPSS數(shù)據(jù)集\data02-02.sav

............此處省略183個文件信息