Description: matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence
- [Armada] - Data Mining toolboox that extracts Assoc
- [apriori] - The apriori association rule data mining
- [gl] - Based on Association Rules Stock Market
- [kmean] - Including the K-means clustering algorit
File list (Check if you may need any files):
association.m
assrule.m
ass_itset.m
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