encoderModel_gaussian_kernel {scAlign} | R Documentation

## Guassian kernel

### Description

Tensorflow implementation of tsne's gaussian_kernel, accepts tensors of float64 (for precision) and returns tensors of float32

### Usage

    encoderModel_gaussian_kernel(
      data,
      data_b = NULL,
      dim,
      perplexity = 30,
      method = "euclidean",
      betas.fixed = 0,
      diag = "zero"
    )

### Arguments

`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

### Value

Tensorflow op

[Package scAlign version 1.8.0 Index]