Exteriorpts: Difference between revisions
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* '''samplemode''' : [ 1 ] mode that contains variance (factors for other modes are normalized to unit 2-norm). | * '''samplemode''' : [ 1 ] mode that contains variance (factors for other modes are normalized to unit 2-norm). | ||
* '''distmeasure''' : [ {'Euclidian'} | 'Mahalanobis' ] | * '''distmeasure''' : [ {'Euclidian'} | 'Mahalanobis' ] | ||
* ''' | * '''minnorm''' : [ 0.03 ] approximate noise level, points with 1-Norm <minnorm*max(norm(x)) are not used. | ||
===See Also=== | ===See Also=== | ||
[[als]], [[mcr]], [[parafac]], [[purity]], [[purityengine]] | [[als]], [[mcr]], [[parafac]], [[purity]], [[purityengine]] | ||
Revision as of 13:23, 24 September 2010
Purpose
Finds pts on the exterior of a data space after data are normalized.
Synopsis
- [loads,isel] = exteriorpts(x,ncomp,options)
Description
The data (X) are assumed to be all >0 and to be modelable as: X = CS' + E
Inputs
- x = MxN matrix.
- ncomp = number of components to extract.
Outputs
- loads = cell array with extracted pts/factors. Non-selectdim modes are determined via projection.
- isel = cell array with isel{options.selectdim} containing indices of selected pts.
Options
options = a structure array with the following fields:
- display : [ 'off' | {'on'} ] governs level of display to command window.
- samplemode : [ 1 ] mode that contains variance (factors for other modes are normalized to unit 2-norm).
- distmeasure : [ {'Euclidian'} | 'Mahalanobis' ]
- minnorm : [ 0.03 ] approximate noise level, points with 1-Norm <minnorm*max(norm(x)) are not used.
See Also
als, mcr, parafac, purity, purityengine