Computational Methods for Data Analysis

$H_2\left(x,y\right)=0.6+\frac{0.6}{1+\exp \left(-100\times \left(x-0.5y\right)\right)}$

The singled out singularities e_MS dataset are finally classified by using the Kohonen LVQ algorithm. The new datasets (e_MS dataset) comprised of the singled out singularities, with the matrix size (64 × 64), are finally classified by using the Kohonen LVQ algorithm.

The steps of Figure 11.44 are explained as follows:

Step (i) Application to MS dataset multifractal Brownian motion synthesis 2D. Multifractal Brownian motion synthesis 2D can be described as follows: primarily you have to calculate the fractal dimension D(D = [x1, x2, ..., x304]) of the original MS dataset. Fractal dimension is computed with eq. (11.15). As the next step, you have the new dataset (e_MS Dataset) formed ...