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fixed outpout filename descriptions

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Krishna Vedala 2020-06-17 18:26:42 -04:00
parent 2651ff5903
commit 5581dac360
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1 changed files with 14 additions and 12 deletions
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26
machine_learning/kohonen_som_topology.c
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@ -28,12 +28,14 @@
#endif
#ifndef max
#define max(a, b) (((a) > (b)) ? (a) : (b)) /**< shorthand for maximum value \
*/
#define max(a, b) \
(((a) > (b)) ? (a) : (b)) /**< shorthand for maximum value \
*/
#endif
#ifndef min
#define min(a, b) (((a) < (b)) ? (a) : (b)) /**< shorthand for minimum value \
*/
#define min(a, b) \
(((a) < (b)) ? (a) : (b)) /**< shorthand for minimum value \
*/
#endif
/** to store info regarding 3D arrays */
@ -388,8 +390,8 @@ void test_2d_classes(double *const *data, int N)
* The following [CSV](https://en.wikipedia.org/wiki/Comma-separated_values)
* files are created to validate the execution:
* * `test1.csv`: random test samples points with a circular pattern
* * `w11.csv`: initial random map
* * `w12.csv`: trained SOM map
* * `w11.csv`: initial random U-matrix
* * `w12.csv`: trained SOM U-matrix
*/
void test1()
{
@ -487,9 +489,9 @@ void test_3d_classes1(double *const *data, int N)
* 3D space and trains an SOM that finds the topological pattern. The following
* [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) files are created
* to validate the execution:
* * `test2.csv`: random test samples points with a lamniscate pattern
* * `w21.csv`: initial random map
* * `w22.csv`: trained SOM map
* * `test2.csv`: random test samples points
* * `w21.csv`: initial random U-matrix
* * `w22.csv`: trained SOM U-matrix
*/
void test2()
{
@ -590,9 +592,9 @@ void test_3d_classes2(double *const *data, int N)
* 3D space and trains an SOM that finds the topological pattern. The following
* [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) files are created
* to validate the execution:
* * `test3.csv`: random test samples points with a circular pattern
* * `w31.csv`: initial random map
* * `w32.csv`: trained SOM map
* * `test3.csv`: random test samples points
* * `w31.csv`: initial random U-matrix
* * `w32.csv`: trained SOM U-matrix
*/
void test3()
{