Association analysis is primarily frequency analysis performed on a transaction dataset: Data Mining Case Study, UOM, Malaysia

Association analysis is primarily frequency analysis performed on a transaction dataset. Since datasets for most practical problems are large you need clever algorithms like Apriori to manage association analysis.

Clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. It is a main task of exploratory data analysis in large datasets.

You may need to compare association analysis vs clustering. Choose any dataset and present the comparative analysis between clustering and association analysis, keeping in mind all the stages of SEMMA by using the concepts of clustering and association analysis studied in this course. The emphasis is on the use of data mining methodology in real-world applications.

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