maps a high-dimensional space to a space of lower dimensionality
non-linear approach, PCA is linear
aims to minimize the following error function, which is often referred to as Sammon’s stress or Sammon’s error:
similar to multidimensional scaling
maps a high-dimensional space to a space of lower dimensionality
non-linear approach, PCA is linear
aims to minimize the following error function, which is often referred to as Sammon’s stress or Sammon’s error:
similar to multidimensional scaling