FRACTIONATION USING K MEANS CLUSTERING

The k-means algorithm is often used in clustering applications but its usage requires a complete data matrix. Missing data, however, common many applications. Mainstream approaches to missing reduce the problem formulation through either deletion or imputation these solutions may incur significant costs. Our k-POD method presents simple extension of for that works even when missingness mechanism unknown, external information unavailable, and there data.