encoderModel_gaussian_kernel {scAlign} | R Documentation |
Tensorflow implementation of tsne's gaussian_kernel, accepts tensors of float64 (for precision) and returns tensors of float32
encoderModel_gaussian_kernel( data, data_b = NULL, dim, perplexity = 30, method = "euclidean", betas.fixed = 0, diag = "zero" )
data |
cell x feature data matrix |
data_b |
second cell x feature data matrix, if none provided then data_b = data |
dim |
number of cells in of mini-batch |
perplexity |
neighborhood parameter for gaussian kernel |
method |
distance metric prior to computing probabilities |
diag |
indicator for self similarity |
Tensorflow op