数据挖掘之Apriori算法详解和Python实现代码分享(4)
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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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