The article presents a new tool for analyzing data clusters, which are groups of related items. The tool combines different methods for clustering and shows the results in both text and visual formats. This makes it easier for people without technical skills to choose the best clustering method and improve the quality of their analysis. The tool can also be expanded to evaluate the results of clustering.