code: def kpca_embedding(self, n):
          
          return self.dm.embedding(n, 'kpca', affinity_matrix=self._affinity)
docs: Embed the points using kernel PCA of the affinity matrix
  
          Parameters
          ----------
          n:      int
                  The number of dimensions