Clusters that are not there: An R tutorial and a Shiny app to quantify a priori inferential risks when using clustering methods.

Clustering methods are increasingly used in social science research. Generally, researchers use them to infer the existence of qualitatively different types of individuals within a larger population, thus unveiling previously "hidden" heterogeneity. Depending on the clustering technique, however, valid inference requires some conditions and assumptions.