# mlpack_radical

## NAME

mlpack_radical - radical

## SYNOPSIS

mlpack_radical [-h] [-v]

## DESCRIPTION

An implementation of RADICAL, a method for independentcomponent analysis (ICA). Assuming that we have an input matrix X, thegoal is to find a square unmixing matrix W such that Y = W * X and the dimensions of Y are independent components. If the algorithm is runningparticularly slowly, try reducing the number of replicates.

## REQUIRED INPUT OPTIONS

--input_file (-i) [string]

Input dataset for ICA.

## OPTIONAL INPUT OPTIONS

--angles (-a) [int]

Number of angles to consider in brute-force search during Radical2D. Default value 150.

--help (-h) [bool]

Default help info. Default value 0.

--info [string]

Get help on a specific module or option. Default value ’’. --noise_std_dev (-n) [double] Standard deviation of Gaussian noise. Default value 0.175.

--objective (-O) [bool]

If set, an estimate of the final objective function is printed. Default value 0.

--replicates (-r) [int]

Number of Gaussian-perturbed replicates to use (per point) in Radical2D. Default value 30.

--seed (-s) [int]

Random seed. If 0, ’std::time(NULL)’ is used. Default value 0.

--sweeps (-S) [int]

Number of sweeps; each sweep calls Radical2D once for each pair of dimensions. Default value

0. |

--verbose (-v) [bool]

Display informational messages and the full list of parameters and timers at the end of execution. Default value 0.

--version (-V) [bool]

Display the version of mlpack. Default value

0. |

## OPTIONAL OUTPUT OPTIONS

--output_ic_file (-o) [string] Matrix to save independent components to. Default value ’’. --output_unmixing_file (-u) [string] Matrix to save unmixing matrix to. Default value ’’.

## ADDITIONAL INFORMATION

## ADDITIONAL INFORMATION

For further information, including relevant papers, citations, and theory, For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your consult the documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.