k-POD, a novel method of k-means clustering on partially observed data that employs a majorization-minimization algorithm to identify a clustering that is consistent with the observed data. By bypassing the completely observed data formulation, k-POD retains all information in the data and avoids committing to distributional assumptions on the missingness patterns. … k-POD (k-POD)