RANGE_NORM_CVIP
range_norm_cvip() - normalizes a set of feature vector values in a matrix based on the range of each feature.
Contents
SYNTAX
a = range_norm_cvip(vector)
Input Parameters include :
- vector - An m by n numerical matrix where m is the number of vectors and n is the length of each row vector.
Output Parameter includes :
- a - A matrix with the same size as the input 'vector' , where each column(feature vector) is normalized using range normalization method.
DESCRIPTION
This function normalizes the vectors in a matrix, given as niput by the user, based on the range of the each vector. The function operates on the columns of the vector matrix and normalizes each column based on the range of the values present in that column.
REFERENCE
1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.
EXAMPLE
% Input vectors vectors = randn(13,6); % Calling function a = range_norm_cvip(vectors)
a =
0.3213 -0.4519 -0.2315 0.0538 0.3311 -0.1609
-0.1715 -0.3539 -0.4695 0.0189 0.0934 0.2447
0.4779 -0.1879 -0.3634 0.0919 0.3897 -0.0077
-0.0762 -0.1892 0.1411 0.2570 0.1178 -0.2822
-0.1671 0.0094 -0.2637 -0.1518 0.7347 0.1708
0.3275 0.0789 -0.0569 0.1442 -0.2288 -0.3157
0.2771 0.2439 0.1674 -0.4368 0.1749 -0.3662
0.1935 0.0584 0.1546 -0.0235 0.4346 0.1990
0.3032 0.3669 -0.0478 0.5632 0.1504 0.0077
0.6162 0.0287 0.5305 0.1258 0.2791 0.0090
-0.3367 0.0873 0.1536 0.2722 -0.2653 0.2076
-0.3838 0.5481 0.0491 -0.1301 0.1920 0.3724
0.2291 0.0252 -0.0753 0.2334 -0.0047 0.6338
CREDITS
Author: Norsang Lama, February 2017
Copyright © 2017-2018 Scott
E Umbaugh
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