06 2017 档案

EM算法
摘要：先说一个小例子： A，B两个箱子中有白球和其他颜色的球共有N个，从两个箱子中抽取到白球的概率分布为pa和pb，从每个箱子中个抽取十次，然后放回，进行五次实验，统计白球出现的次数 可以很简单的估计出pa和pb，pa=A中抽取到白色次数/A中抽取的次数,同理，pa也一样 我们也可以用极大似然算出是上面的 阅读全文
posted @ 2017-06-25 21:13 semen 阅读(252) 评论(0) 推荐(0)
pca_python
摘要：#pythonfrom numpy import * def loadData(filename): data=[] for line in open(filename).readlines(): ft=line.strip().split("\t") th=map(float,ft) data.append(th) ret... 阅读全文
posted @ 2017-06-14 23:28 semen 阅读(208) 评论(0) 推荐(0)
Kmeans_python
摘要：from numpy import * import matplotlib.pyplot as plt def loadData(filename): data=[] for line in open(filename).readlines(): linth=line.strip().split("\t") dataline=map(float,l... 阅读全文
posted @ 2017-06-13 22:53 semen 阅读(293) 评论(1) 推荐(0)
SVM_python
摘要：#coding:utf-8 from numpy import * import matplotlib import matplotlib.pyplot as plt def loadData(filename): fr=open(filename) dataset=[] datalabel=[] for line in fr.readlines(): ... 阅读全文
posted @ 2017-06-10 19:05 semen 阅读(279) 评论(0) 推荐(0)
LogisticRgression_python
摘要：#coding:utf-8 from numpy import * def loaddata(): datamat=[] label=[] fr=open("testSet.txt") for line in fr.readlines(): arr=line.strip().split() datamat.append([1.0,f... 阅读全文
posted @ 2017-06-08 22:04 semen 阅读(271) 评论(0) 推荐(0)
naiveBayes_python
摘要：#coding:utf-8 from numpy import * import re def createlist(lst):#将所有文本放入一个列表中 listt=set([]) for line in lst: listt=listt|set(line) return list(listt) def word2vec(List,inputset):#... 阅读全文
posted @ 2017-06-08 15:12 semen 阅读(336) 评论(0) 推荐(0)
DecisionTree_python
摘要：#coding:utf-8 from numpy import * from math import * import operator def file2matrix(filename): fr=open(filename) lines=fr.readlines() lenth=len(lines) rematrix=zeros((lenth,7)) l... 阅读全文
posted @ 2017-06-07 21:03 semen 阅读(361) 评论(0) 推荐(0)
KNN_python
摘要：#coding:utf-8 from numpy import * import operator def file2matrix(filename): fr=open(filename) arrline=fr.readlines() lenth=len(arrline) matrix=zeros((lenth,3))#3表示特征个数 label=[] ... 阅读全文
posted @ 2017-06-07 20:40 semen 阅读(212) 评论(0) 推荐(0)