Last data update: 2014.03.03

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Results 1 - 10 of 14 found.
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tensorVectorize (Package: tensorBSS) : Vectorize an Observation Tensor

Vectorizes an array of array-valued observations into a matrix so that each column of the matrix corresponds to a single observational unit.
● Data Source: CranContrib
● Keywords: array, utilities
● Alias: tensorVectorize
● 0 images

tJADE (Package: tensorBSS) :

Computes the tensorial JADE in an independent component model.
● Data Source: CranContrib
● Keywords: array, multivariate
● Alias: tJADE
● 0 images

tSOBI (Package: tensorBSS) : SOBI for Tensor-Valued Time Series

Computes the tensorial SOBI for time series where at each time point a tensor of order r is observed.
● Data Source: CranContrib
● Keywords: array, multivariate, ts
● Alias: tSOBI
● 0 images

tensorTransform (Package: tensorBSS) : Linear Transformation of Tensors from mth Mode

Applies a linear transformation to the mth mode of each individual tensor in an array of tensors
● Data Source: CranContrib
● Keywords: array, utilities
● Alias: tensorTransform
● 0 images

plot.tbss (Package: tensorBSS) : Plot an Object of the Class tbss

Plots the most interesting components (in the sense of extreme kurtosis) obtained by a tensor blind source separation method.
● Data Source: CranContrib
● Keywords: methods
● Alias: plot.tbss
● 0 images

selectComponents (Package: tensorBSS) : Select the Most Informative Components

Takes an array of observations as an input and outputs a subset of the components having the most extreme kurtoses.
● Data Source: CranContrib
● Keywords: utilities
● Alias: selectComponents
● 0 images

mModeAutoCovariance (Package: tensorBSS) : The m-Mode Autocovariance Matrix

Estimates the m-mode autocovariance matrix from an array of array-valued observations with the specified lag.
● Data Source: CranContrib
● Keywords: array, utilities
● Alias: mModeAutoCovariance
● 0 images

tensorBSS-package (Package: tensorBSS) :

Contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: tFOBI, tJADE, tgFOBI, tgJADE and tSOBI.
● Data Source: CranContrib
● Keywords: array, multivariate, package, ts
● Alias: tensorBSS, tensorBSS-package
● 0 images

tFOBI (Package: tensorBSS) : FOBI for Tensor-Valued Observations

Computes the tensorial FOBI in an independent component model.
● Data Source: CranContrib
● Keywords: array, multivariate
● Alias: tFOBI
● 0 images

tensorCentering (Package: tensorBSS) : Center an Array of Observations

Centers an array of array-valued observations by substracting the mean array from each observation.
● Data Source: CranContrib
● Keywords: array, utilities
● Alias: tensorCentering
● 0 images