return the auto scaled data

auto(dataSet: (Array<number> | Array<Array<number>>), options: object): Matrix
Parameters
dataSet ((Array<number> | Array<Array<number>>))
options (object = {}) it could includes means and standard desviation
Name Description
options.std Array<Array<number>> standard desviation.
options.means Array<Array<number>>
Returns
Matrix:

return the centered data

center(dataSet: (Array<number> | Array<Array<number>>), options: object): Matrix
Parameters
dataSet ((Array<number> | Array<Array<number>>))
options (object = {}) it could includes means and standard desviation
Name Description
options.means Array<Array<number>>
Returns
Matrix:

return the level scaled data

level(dataSet: (Array<number> | Array<Array<number>>), options: object): Matrix
Parameters
dataSet ((Array<number> | Array<Array<number>>))
options (object = {}) it could includes means and standard desviation
Name Description
options.means Array<Array<number>>
Returns
Matrix:

Normalizes the data based in the mean and the standard deviation

Parameters
x ((Array<number> | Array<Array<number>>)) Array or matrix to normalize
Returns
(Array<number> | Array<Array<number>>):

return the pareto scaled data as a matrix

pareto(dataSet: (Array<number> | Array<Array<number>>), options: object): Matrix
Parameters
dataSet ((Array<number> | Array<Array<number>>))
options (object = {}) it could includes means and standard desviation
Name Description
options.std Array<Array<number>> standard desviation.
options.means Array<Array<number>>
Returns
Matrix:

return the vast scaled data

vast(dataSet: (Array<number> | Array<Array<number>>), options: object): Matrix
Parameters
dataSet ((Array<number> | Array<Array<number>>))
options (object = {}) it could includes means and standard desviation
Name Description
options.std Array<Array<number>> standard desviation.
options.means Array<Array<number>>
Returns
Matrix: