Fortunately, a pseudo code for this algorithm is available in Chapter 6 (sample chapter available for free download) of Introduction to Data Mining. Let's start with loading the example dataset used in the PDF and creating a binary matrix representation of transactions in rows and items in columns, with 1 meaning the given

Filename	Size	Update
MatLab Apriori\Apriori.asv	14345	2014-08-05
MatLab Apriori\Apriori.fig	6470	2014-08-05
MatLab Apriori\Apriori.m	14621	2014-08-05
MatLab Apriori\Data.xlsx	12450	2014-08-05
MatLab Apriori\ddata.csv	1968	2014-08-05
MatLab Apriori\findRules.m	7601	2014-08-02
MatLab Apriori\Keterangan.asv	4771	2014-08-05
MatLab Apriori\Keterangan.fig	2896	2014-08-05
MatLab Apriori\Keterangan.m	5092	2014-08-05
MatLab Apriori\poltek.PNG	12633	2012-12-29
MatLab Apriori\ProyekDM.asv	3663	2014-08-05
MatLab Apriori\ProyekDM.fig	4486	2014-08-04
MatLab Apriori\ProyekDM.m	3663	2014-08-05
MatLab Apriori	0	2014-08-05

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