<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[pat_datamine的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/pat_datamine</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; pat_datamine]]></copyright><item><title><![CDATA[数据挖掘--相关系数计算]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/44063611</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/44063611</guid><author>pat_datamine</author><pubDate>Wed, 04 Mar 2015 18:22:37 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class R_compute {
	List data_x=new ArrayList();  
    L]]></description><category></category></item><item><title><![CDATA[利用python的sklearn开源包进行文本挖掘]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43969631</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43969631</guid><author>pat_datamine</author><pubDate>Fri, 27 Feb 2015 16:51:31 +0800</pubDate><description><![CDATA[从网站抓取训练样本数据，代码：
import urllib2
from BeautifulSoup import BeautifulSoup
import sys
import re
import time
import sys
reload(sys)
sys.setdefaultencoding('utf-8')

url=['http://news.baidu.com/n?cmd=4&cla]]></description><category></category></item><item><title><![CDATA[mapreduce编程：多表关联]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43796195</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43796195</guid><author>pat_datamine</author><pubDate>Fri, 13 Feb 2015 17:39:19 +0800</pubDate><description><![CDATA[package my.hadoopstudy;  

import java.util.*;
import java.io.*;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apa]]></description><category></category></item><item><title><![CDATA[mapreduce编程：单表自连接]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43794667</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43794667</guid><author>pat_datamine</author><pubDate>Fri, 13 Feb 2015 15:17:43 +0800</pubDate><description><![CDATA[程序：
package my.hadoopstudy;  

import java.util.*;
import java.io.*;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import or]]></description><category></category></item><item><title><![CDATA[mapreduce编程：求平均值]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43763819</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43763819</guid><author>pat_datamine</author><pubDate>Thu, 12 Feb 2015 16:08:19 +0800</pubDate><description><![CDATA[求平均值的程序：
package my.hadoopstudy;  
   
import org.apache.hadoop.conf.Configuration;  
import org.apache.hadoop.fs.Path;   
import org.apache.hadoop.io.Text;  
import org.apache.hadoop.mapreduce.Job; ]]></description><category></category></item><item><title><![CDATA[mapreduce编程:wordcount]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43762409</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43762409</guid><author>pat_datamine</author><pubDate>Thu, 12 Feb 2015 14:52:18 +0800</pubDate><description><![CDATA[用maven插件编写程序，下载相关依赖：
package my.hadoopstudy;  
   
import org.apache.hadoop.conf.Configuration;  
import org.apache.hadoop.fs.Path;  
import org.apache.hadoop.io.IntWritable;  
import org.apache.hado]]></description><category></category></item><item><title><![CDATA[hadoop的安装与编程环境的配置]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43762349</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43762349</guid><author>pat_datamine</author><pubDate>Thu, 12 Feb 2015 14:49:06 +0800</pubDate><description><![CDATA[hadoop的安装：http://www.cnblogs.com/end/archive/2012/08/13/2636645.html
mapreduce，用maven，http://blog.youkuaiyun.com/kongxx/article/details/42339581]]></description><category></category></item><item><title><![CDATA[数据挖掘-BP算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43525757</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43525757</guid><author>pat_datamine</author><pubDate>Thu, 05 Feb 2015 11:28:08 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;


public c]]></description><category></category></item><item><title><![CDATA[数据挖掘-Knn算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43450741</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43450741</guid><author>pat_datamine</author><pubDate>Tue, 03 Feb 2015 15:46:01 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import jav]]></description><category></category></item><item><title><![CDATA[数据挖掘-NaiveBeyes算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43406849</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43406849</guid><author>pat_datamine</author><pubDate>Mon, 02 Feb 2015 12:37:12 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import jav]]></description><category></category></item><item><title><![CDATA[数据挖掘-k-means算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43343839</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43343839</guid><author>pat_datamine</author><pubDate>Sat, 31 Jan 2015 19:36:29 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;


public class]]></description><category></category></item><item><title><![CDATA[数据挖掘--聚类介绍]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43342013</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43342013</guid><author>pat_datamine</author><pubDate>Sat, 31 Jan 2015 16:44:26 +0800</pubDate><description><![CDATA[共有5类：划分法、层次法、密度法、网格法、模型法


1、划分法

划分法(partitioning methods)，给定一个有N个元组或者纪录的数据集，分裂法将构造K个分组，每一个分组就代表一个聚类，K

（1） 每一个分组至少包含一个数据纪录；

（2）每一个数据纪录属于且仅属于一个分组（注意：这个要求在某些模糊聚类算法中可以放宽）；

对于给定的K，算法首先给出一个初]]></description><category></category></item><item><title><![CDATA[数据挖掘--pagerank算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43341337</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43341337</guid><author>pat_datamine</author><pubDate>Sat, 31 Jan 2015 15:29:40 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;


public class PageRank {
	public in]]></description><category></category></item><item><title><![CDATA[数据挖掘--逻辑斯蒂回归的java实现（求最优点的方法用是梯度下降法）]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43272555</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43272555</guid><author>pat_datamine</author><pubDate>Thu, 29 Jan 2015 16:10:39 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;




public class Logistic {
	float[] Tag;
    float[][] Var;]]></description><category></category></item><item><title><![CDATA[数据挖掘--Cart算法的实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43228369</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43228369</guid><author>pat_datamine</author><pubDate>Wed, 28 Jan 2015 11:59:41 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import ]]></description><category></category></item><item><title><![CDATA[数据挖掘--apriori算法实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43156119</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43156119</guid><author>pat_datamine</author><pubDate>Mon, 26 Jan 2015 19:07:23 +0800</pubDate><description><![CDATA[import java.io.BufferedReader;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashSet;
import j]]></description><category></category></item><item><title><![CDATA[数据挖掘：FP增长]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43057527</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43057527</guid><author>pat_datamine</author><pubDate>Fri, 23 Jan 2015 16:34:17 +0800</pubDate><description><![CDATA[FP-Tree算法
FPTree算法：在不生成候选项的情况下，完成Apriori算法的功能。
FPTree算法的基本数据结构，包含一个一棵FP树和一个项头表，每个项通过一个结点链指向它在树中出现的位置。基本结构如下所示。需要注意的是项头表需要按照支持度递减排序，在FPTree中高支持度的节点只能是低支持度节点的祖先节点。

另外还要交代一下FPTree算法中几个基本的概念：
FP-Tre]]></description><category></category></item><item><title><![CDATA[数据挖掘：Apriori算法]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43055841</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43055841</guid><author>pat_datamine</author><pubDate>Fri, 23 Jan 2015 14:47:59 +0800</pubDate><description><![CDATA[转自：  http://blog.youkuaiyun.com/zjd950131/article/details/8071414


1 Apriori介绍

Apriori算法使用频繁项集的先验知识，使用一种称作逐层搜索的迭代方法，k项集用于探索(k+1)项集。首先，通过扫描事务（交易）记录，找出所有的频繁1项集，该集合记做L1，然后利用L1找频繁2项集的集合L2，L2找L3，如此下去，直到不能]]></description><category></category></item><item><title><![CDATA[MapReduce：基于物品的协同过滤算法的MapReduce实现]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/43019357</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/43019357</guid><author>pat_datamine</author><pubDate>Thu, 22 Jan 2015 14:43:03 +0800</pubDate><description><![CDATA[基于用户的相似性函数的定义：


import java.io.IOException;  
import java.util.ArrayList;
import java.util.Iterator;  
import java.util.List;
 
  
  
public class MapReduce0 extends MapperReduce{  
  
    public]]></description><category></category></item><item><title><![CDATA[数据挖掘--协同过滤算法，基于集合交集相似性计算的mapreduce算法设计]]></title><link>https://blog.youkuaiyun.com/pat_datamine/article/details/42968505</link><guid>https://blog.youkuaiyun.com/pat_datamine/article/details/42968505</guid><author>pat_datamine</author><pubDate>Wed, 21 Jan 2015 14:58:23 +0800</pubDate><description><![CDATA[第一个过程程的mapreduce函数：

import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.uti]]></description><category></category></item></channel></rss>