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Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

Description of slignorevars
Home > sltoolbox > utils > slignorevars.m

slignorevars

PURPOSE ^

SLIGNOREVARS Ignores the input variables

SYNOPSIS ^

function slignorevars(varargin)

DESCRIPTION ^

SLIGNOREVARS Ignores the input variables

 $ Syntax $
   - slignorevars(v1, v2, ...)

 $ Description $
   - slignorevars(v1, v2, ...) In high version of Matlab, the editor
     will produce a warning when it does not find the using of a 
     defined variable. However, it is sometimes necessary for some
     designs. This function provides a way for you to plugin input
     variables, by this way, in your function, it will be apparent to
     editor that the variables are used.

 $ History $
   - Created by Dahua Lin, on Aug 14, 2006

CROSS-REFERENCE INFORMATION ^

This function calls:
This function is called by:
  • slkmeans SLKMEANS Performs K-Means Clustering on samples
  • slkmeansex SLKMEANSEX Performs Generalized K-means
  • sllogdet SLLOGDET Computes the logarithm of determinant of a matrix in a robust way
  • slpwcomp_blks SLPWCOMP_BLKS Computes pairwise value matrix
  • slpweval SLPWEVAL Perform pairwise computation
  • slcountlines SLCOUNTLINES Count the lines of m-files in a folder and make a report
  • slpruneedgeset SLPRUNEEDGESET Prunes the edge set
  • slcumuscore SLCUMUSCORE Computes the cumulative score on multi-class classification
  • slgetroc SLGETROC Computes some point from ROC Curve
  • slcovlarge SLCOVLARGE Computes large covariance matrix using memory-efficient way
  • slfmm SLFMM Learns a Finite Mixture Model (FMM)
  • slgaussest SLGAUSSEST Estimates the Gaussian models from samples
  • slgmm SLGMM Learns Gaussian Mixture model from samples
  • slpca SLPCA Learns a PCA model from training samples
  • slpartitionpca SLPARTITIONPCA Performs Partition-based PCA and saves the models
  • sltensor_svd SLTENSOR_SVD Performs a Higher-Order SVD on a Tensor

SOURCE CODE ^

0001 function slignorevars(varargin)
0002 %SLIGNOREVARS Ignores the input variables
0003 %
0004 % $ Syntax $
0005 %   - slignorevars(v1, v2, ...)
0006 %
0007 % $ Description $
0008 %   - slignorevars(v1, v2, ...) In high version of Matlab, the editor
0009 %     will produce a warning when it does not find the using of a
0010 %     defined variable. However, it is sometimes necessary for some
0011 %     designs. This function provides a way for you to plugin input
0012 %     variables, by this way, in your function, it will be apparent to
0013 %     editor that the variables are used.
0014 %
0015 % $ History $
0016 %   - Created by Dahua Lin, on Aug 14, 2006
0017 %
0018 
0019

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