ADTC	Average Distance to the Truth Centroid
IF	Information Force
IP	Information Potential
MDPI	Multidisciplinary Digital Publishing Institute
PDF	Probability Density Function
RBF	Radial Basis Function
RBFN	Radial Basis Function Network
List of variables
c	Centroids/RBF centers
$c_{est}$	estimated centroids
$c_{gt}$	ground truth centroids
$d_{max}$	Maximum distance between the cluster centers
f	Function
$F_{if}$	Information Force
G	Gaussian Kernel
h	Kernel bandwidth
H	Entropy
$IQR$	Interquartile range
K	Neural network nodes
n	Number of samples
p	Datapoint
$P(·)$	Information Potential
$Q_1$	First quartile
$Q_3$	Third quartile
s	Epoch
w	Weights
x	Sample
X	Set of samples
$\alpha$	Learning rate constant
$\beta$	Minimum distance between candidates
$\gamma$	Constant of convergence
$\delta$	Threshold of Information Potential
$\eta$	Learning rate
$\theta$	Constant of outlier reduction
$\kappa$	Smoothie parameter
$\hat{\sigma }$	Estimated standard deviation
${\sigma }^2$	Variance/RBF width
$\phi$	Radial Basis Function