Question about normailization

[AlgorithmicIntelligence]

The paper normalize range from -0.1 to 1.175, in order to make mean equal to 0, variance equal to 1. But I try both on your code and my code, variance is far from 1. Do you have any idea?

[AlgorithmicIntelligence]

Another question, how to get the template weights about RBF?

[mattwang44]

The paper normalize range from -0.1 to 1.175, in order to make mean equal to 0, variance equal to 1. But I try both on your code and my code, variance is far from 1. Do you have any idea?

how do you calculate variance? The variance of a set containing number range from -0.1 to 1.175 should not be far from 1.

Another question, how to get the template weights about RBF?

I just hardcoded the ASCII set as weight by observing the figure on the top of paper (p.9)

[AlgorithmicIntelligence]

Thank you for your response.
I just use np.average(.) and np.std(.) directly.
For instance, in your code,
np.average(train_image_normalized_pad) = 0.027
np.std(train_image_normalized_pad) = 0.3509
Is it the expectation of the original paper?