As a special class of non-negative matrix factorization, symmetric factorization (SymNMF) has been widely used in the machine learning field to mine hidden non-linear structure data. Due constraint and non-convexity SymNMF, efficiency existing methods is generally unsatisfactory. To tackle this issue, we propose two-phase algorithm solve SymNMF problem efficiently. In first phase, drop new mode...