Nonnegative Matrix Factorization

Identity Notes & Concept Scope The mathematical factorization is distinct from a particular fitting algorithm, trained dictionary or application. The separately represented Lee-Seung multiplicative updates optimize two specified objectives. Nonnegative factors need not be sparse, orthogonal or uniquely determined; this is not the exact sparse-coding identity in AIO or ordinary PCA. Non-negative and British factorisation spellings name the same method. Four candidate identities were compared against all 442 pinned AIO IDs, labels and scoped synonyms and 450 preceding native IDs, names and aliases, with no normalized match. Ignored/hidden full-checkout searches returned the same 106 matched-line set in each checkout after the prior merge. All matched excerpts from 76 files were read; they are discovery context, not existing concept records. The semantic search covered all pinned labels and scoped synonyms and returned 212 rows: 205 byte-equivalent prior readings and seven additional rows, all inspected. Twenty-three annotated AIO nodes with outgoing edges comprise 21 unchanged prior readings and two new inspections. Thirty contextual YAMLs, including seven native neighbors, comprise 25 unchanged prior readings and five complete new readings. This absence assessment is bounded to the pinned snapshot and inspected maintained corpus.