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updated documentation
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@ -24,11 +24,14 @@
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* \n Steps:
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* 1. `r1 = rand() % 100` gets a random number between 0 and 99
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* 2. `r2 = r1 / 100` converts random number to be between 0 and 0.99
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* 3. scale and offset the random number to given range of \f$[a,b]\f$
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* 3. scale and offset the random number to given range of \f$[a,b)\f$
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* \f[
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* y = (b - a) \times \frac{\text{(random number between 0 and RAND_MAX)} \;
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* \text{mod}\; 100}{100} + a \f]
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*
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* \param[in] a lower limit
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* \param[in] b upper limit
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* \returns random number in the range \f$[a,b]\f$
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* \returns random number in the range \f$[a,b)\f$
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*/
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double _random(double a, double b)
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{
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@ -184,7 +187,12 @@ void kohonen_som_tracer(double **X, double *const *W, int num_samples,
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/** Creates a random set of points distributed *near* the circumference
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* of a circle and trains an SOM that finds that circular pattern. The
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* generating function is
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* \f{eqnarray*}{ \f}
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* \f{eqnarray*}{
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* r &\in& [1-\delta r, 1+\delta r)\\
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* \theta &\in& [0, 2\pi)\\
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* x &=& r\cos\theta\\
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* y &=& r\sin\theta
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* \f}
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*
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* \param[out] data matrix to store data in
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* \param[in] N number of points required
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@ -270,7 +278,16 @@ void test1()
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/** Creates a random set of points distributed *near* the locus
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* of the [Lamniscate of
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* Gerono](https://en.wikipedia.org/wiki/Lemniscate_of_Gerono) and trains an SOM
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* that finds that circular pattern. \param[out] data matrix to store data in
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* that finds that circular pattern.
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* \f{eqnarray*}{
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* \delta r &=& 0.2\\
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* \delta x &\in& [-\delta r, \delta r)\\
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* \delta y &\in& [-\delta r, \delta r)\\
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* \theta &\in& [0, \pi)\\
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* x &=& \delta x + \cos\theta\\
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* y &=& \delta y + \frac{\sin(2\theta)}{2}
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* \f}
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* \param[out] data matrix to store data in
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* \param[in] N number of points required
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*/
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void test_lamniscate(double *const *data, int N)
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@ -354,10 +371,14 @@ void test2()
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free(W);
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}
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/** Creates a random set of points distributed *near* the locus
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* of the [Lamniscate of
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* Gerono](https://en.wikipedia.org/wiki/Lemniscate_of_Gerono) and trains an SOM
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* that finds that circular pattern. \param[out] data matrix to store data in
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/** creates a random set of points distributed in four clusters in
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* 3D space with centroids at the points
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* * \f$(0,5, 0.5, 0.5)\f$
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* * \f$(0,5,-0.5, -0.5)\f$
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* * \f$(-0,5, 0.5, 0.5)\f$
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* * \f$(-0,5,-0.5, -0.5)\f$
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*
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* \param[out] data matrix to store data in
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* \param[in] N number of points required
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*/
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void test_3d_classes(double *const *data, int N)
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