数据挖掘之Apriori算法详解和Python实现代码分享(4)

时间:2014-11-08 02:34来源:网络整理作者:网络点击: 次

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Apriori算法

Apriori(filename, min_support, item_start, item_end)

参数说明

filename:(路径)文件名
min_support:最小支持度
item_start:item起始位置
item_end:item结束位置

使用例子：

复制代码代码如下:

import apriori

c = apriori.Apriori('basket.txt', 11, 3, 13)

输出：

复制代码代码如下:

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The 1 loop

location [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]]

support [299, 183, 177, 303, 204, 302, 293, 287, 184, 292, 276]

num [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

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The 2 loop

location [[0, 9], [3, 5], [3, 6], [5, 6], [7, 10]]

support [145, 173, 167, 170, 144]

num [0, 3, 5, 6, 7, 9, 10]

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The 3 loop

location [[3, 5, 6]]

support [146]

num [3, 5, 6]

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frozenmeal,beer ->> cannedveg  min_support:  14.6%  min_confidence: 0.858823529412

cannedveg,beer ->> frozenmeal  min_support:  14.6%  min_confidence: 0.874251497006

cannedveg,frozenmeal ->> beer  min_support:  14.6%  min_confidence: 0.843930635838

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