apriori 算法matlab 频繁模式挖掘 对购买记录进行频繁模式挖掘，采用apriori 算法 本文档附带matlab 算法以及一个案例： 附件：BASKETS.txt BASKETS.xlsx 在我的文库里 首先进行数据 BASKETS.txt 的预处理：得到 BASKETS.xlsx，（第二页） Matlab 代码函数： 一下是用附件做的案例主函数： 结果截图： 附原始数据： cardid,value,pmethod,sex,homeown,income,age,fruitveg,freshmeat,dairy,cannedveg,cannedmeat,frozenmeal,beer,wine,softdrink,fish,confectionery 39808,42.7123,CHEQUE,M,NO,27000,46,F,T,T,F,F,F,F,F,F,F,T 67362,25.3567,CASH,F,NO,30000,28,F,T,F,F,F,F,F,F,F,F,T 10872,20.6176,CASH,M,NO,13200,36,F,F,F,T,F,T,T,F,F,T,F 26748,23.6883,CARD,F,NO,12200,26,F,F,T,F,F,F,F,T,F,F,F 91609,18.8133,CARD,M,YES,11000,24,F,F,F,F,F,F,F,F,F,F,F 26630,46.4867,CARD,F,NO,15000,35,F,T,F,F,F,F,F,T,F,T,F 62995,14.0467,CASH,F,YES,20800,30,T,F,F,F,F,F,F,F,T,F,F 38765,22.2034,CASH,M,YES,24400,22,F,F,F,F,F,F,T,F,F,F,F 28935,22.975,CHEQUE,F,NO,29500,46,T,F,F,F,F,T,F,F,F,F,F 41792,14.5692,CASH,M,NO,29600,22,T,F,F,F,F,F,F,F,F,T,F 59480,10.3282,CASH,F,NO,27100,18,T,T,T,T,F,F,F,T,F,T,F 60755,13.7796,CASH,F,YES,20000,48,T,F,F,F,F,F,F,F,F,T,F 70998,36.509,CARD,M,YES,27300,43,F,F,T,F,T,T,F,F,F,T,F 80617,10.2011,CHEQUE,F,YES,28000,43,F,F,F,F,F,F,F,F,T,T,F 61144,10.3736,CASH,F,NO,27400,24,T,F,T,F,F,F,F,F,T,T,F 36405,34.8222,CHEQUE,F,YES,18400,19,F,F,F,F,F,T,T,F,T,F,F 76567,42.248,CARD,M,YES,23100,31,T,F,F,T,F,F,F,F,F,T,F 85699,18.1688,CASH,F,YES,27000,29,F,F,F,F,F,F,F,F,F,T,F 11357,10.753,CASH,F,YES,23100,26,F,F,F,F,F,F,T,F,F,T,F 97761,32.3184,CARD,F,YES,25800,38,T,F,F,T,F,F,F,T,F,T,T 20362,31.72,CASH,M,YES,25100,38,F,F,F,F,F,T,F,F,F,T,F 33173,36.8328,CASH,F,YES,24700,43,F,F,F,F,F,F,F,T,F,F,T 69934,31.1787,CHEQUE,F,YES,21300,41,F,F,F,F,F,F,F,F,F,T,F 14743,21.6813,CASH,M,YES,12400,48,T,T,T,T,T,T,T,T,F,F,F 83071,29.8536,CASH,M,YES,18100,31,F,F,F,F,F,F,T,F,F,F,T 17571,15.27,CARD,F,YES,22900,23,T,F,T,F,F,T,T,F,F,F,F 37917,32.2318,CHEQUE,F,NO,27000,32,F,T,F,F,F,F,F,T,F,F,T 11236,42.56...
