Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario

► Missing data must be handled in correct way in order to do not comprimise the validity of research. ► Completation techniques can lead to effective data imputation in order to preserve the power of the research results. ► Comparison results in a psychological scenario demonstrate that extentions to Fuzzy C-Means clustering can accurately complete datasets with missing values.