Research on ML algorithms for segmenting shopping data

<p>The dataset contains research results of available ML algorithms for analyzing shopping data from retail outlets (data by product (SKU)).</p> <p>The study consisted of checking the effectiveness of the algorithms depending on the segmentation parameters used, e.g. the number of SKUs in the purchasing data, the assumed number of purchasing patterns, data processing time and the number of segments in the resulting data.</p> <p>Synthetic shopping data in many configurations (input parameters) was used for the study.</p> <p>Included resources include:</p> <p>- input data to the segmentation process</p> <p>- segmentation result data along with a comparison of the effectiveness of the algorithms</p> <p>The file structure is described in additional documents.</p>