Using clustering methods to analyze sales of auto parts at a truck service station
Svetlana Evdokimova,
Tatyana Novikova,
Arthur Novikov
Abstract:Clustering methods are widely used to divide goods into groups depending on sales volumes in order to build an optimal purchasing planning and inventory management strategy. Cluster analysis methods do not provide an unambiguous partition of the original set of objects, therefore, in the work, existing clustering methods were analyzed to study sales of auto parts at truck service stations. To solve the problem, the following methods were chosen: k-means, hierarchical agglomerative clustering and DBSCAN. Before… Show more
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