PATTERN_SOFTMAX_NORM_CVIP

pattern_softmax_norm_cvip() - two csv files are input, training and test sets, and returns new csv files with the feature vectors normalized with softmax scaling normalization.

Contents

SYNTAX

[normalized_file_tt,  normalized_file_tr] = pattern_softmax_norm_cvip(file_tt, file_tr, r)

Input Parameters include :

Output Parameters include :

DESCRIPTION

This function gets the training set and the test set as input arguments and normalizes them using softmax normalization method. Then the results are saved to two new CSV files and their names are returned as output. The softmax method needs an extra parameter that should also be given as input r. The parameter r controls the amount of softmax scaling applied to the vectors.

REFERENCE

1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.

EXAMPLE

% Test set file

 file_tt = 'myTestVectors.CSV';

% Training set file

 file_tr = 'myTrainingVectors.CSV';

% Calling function

 [normalized_file_tt,  normalized_file_tr] = pattern_softmax_norm_cvip(file_tt, file_tr, 3)
normalized_file_tt =

softmax_myTestVectors.CSV


normalized_file_tr =

softmax_myTrainingVectors.CSV

CREDITS

Author: Mehrdad Alvandipour, March 2017
Copyright © 2017-2018 Scott E Umbaugh
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