  T-distributed stochastic neighborhood embedding (tSNE) is used as a tool to
reveal the phase diagram of the Su-Schrieffer-Heeger model and some of its
extended and non-Hermitian variants. Bloch vectors calculated at different
points in the parameter space are mapped to a two-dimensional reduced space.
The clusters in the reduced space are used to visualize different phase regions
included in the input. The tSNE mapping is shown to be effective even in the
challenging case of the non-Hermitian extended model where five different
phases are present. An example of using wavefunction input, instead of Bloch
vectors, is presented also.
