  We demonstrate physics-blind and purely data-based nucleosynthetic archetype
discovery from heterogeneous stellar elemental abundance measurements.
Archetype extraction is performed via non-negative matrix factorization (NMF).
Because stellar elemental abundance measurements can be incomplete and sparsely
sampled, we perform combined low-rank NMF and matrix completion on the Hypatia
Catalog and JINAbase to extract archetypal elemental abundance patterns, the
so-called endmembers, and impute the missing measurements. We qualitatively
compare the discovered nucleosynthetic archetypes to patterns anticipated from
direct astrophysical nucleosynthetic calculations. Our tentative results
indicate that the physics-blind analysis relying entirely on the incomplete
chemical mixing in star formation can discern nucleosynthetic archetypes
associated with asymptotic giant branch (AGB) stellar sources of the s-process,
thermonuclear supernovae, and non-thermonuclear supernovae with an r-process.
