Eemoutlier

From Eigenvector Research Documentation Wiki
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Purpose

Automatically remove outliers in PARAFAC models of EEM data.

Synopsis

result = eemoutlier(X,factors);

Description

Provides an automated outlier selection procedure for a given dataset and given number of components. Samples with a high leverage or high sum-squared residual are removed one by one until no samples are assessed as outliers. The settings for making decisions are given in the top of the m-file. Outliers can only be removed until there are 8 samples left. Then the algorithm will stop.

Inputs

  • X = multi-way array.
  • factors = number of factors.

Outputs

  • result = structure with following fields:
result.model = parafac model.
result.SMPS = cell of sample sets.

See Also

parafac