Главная
База знаний "Allbest"
Математика
Principal Manifold Learning by Sparse Grids - подобные работы
Principal Manifold Learning by Sparse Grids
The construction of lower-dimensional manifolds from high-dimensional data is an important task in data mining, machine learning and statistics. The authors consider principal manifolds as a regularized, non-linear empirical quantization error functional.
Подобные документы не найдены.