Non-linear Manifold Learning Algorithm Based on Intensity of Points

This paper presents a non-linear manifold learning algorithm based on intensity of sample points.It proposes an effective intensity parameter of sample points,which constraints the low-dimensional embedding of uneven data well.There is a better embedding result than LLE.The experimental results on the artificial and face datasets show that the new algorithm yields a better embedding and classification result.