• Dr.M.Rajeswari
• D.Priyanka

The aim of this paper is to discover the pinnacle bought product for consumer recommendation using K-Means set of rules. The statistics provided is based on systematic have a look at and medical applications in analysing sales records and purchasing behaviour of the purchasers. The curated and organized facts as an outcome of this scientific look at not best complements commercial enterprise sales and profit, but also equips with clever insights in predicting patron purchasing behaviour and related styles. In order to execute and observe the medical method using K-Means set of rules, the real time transactional and retail dataset are analysed. This objective is based totally at the cluster and deploys dataset segmentation ideas using K-Means Algorithm. A shape of dataset clusters is installation for the calculation of cluster.

Identifying top purchase products, Buying pattern of customer, k-means algorithm.

"Find Out The Top Purchase Product Using k-means Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.143-147, June-2022, Available :http://www.jetir.org/papers/JETIRFN06023.pdf

"Find Out The Top Purchase Product Using k-means Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp143-147, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06023.pdf