Unsupervised Learning

Non-negative matrix factorization, as implemented in the LEA package, is a case of unsupervised machine learning; LEA uses least-squares estimates of ancestry coefficients.

Using minimum cross-entropy (MinXEnt) to determine the number of genetic clusters (K) is not always straightforward.