> Hi, The concept expained in this artical is not
> working.
Several concepts were defined in the article. Which one did you try that is not working?
> They are distributing the points on the
> surface. But not evenly. Thank you for your time.
As the article also pointed out, Since you can NOT really distribute n points "evenly" except for the few special cases of the platonic solids, there exist several different definitions of what you might mean by "even distribution" Furthermore, there are other definitions of "even" that the article did not mention, for example aesthetics. In an art piece you may want an even distribution that exhibits a high degree of symmetry
Which definition of "even distribution" were you trying to accomplish?
It is very difficult to give advice on how to do something if you do not define what it is that you want to do.
Further more, to save some more back and forth time I'll cut right to the chase.
No one knows how to distribute points evenly on a sphere. Lack of agreement on how to define what is meant by even distribution is a primary problem. However, even with a fine definition in hand, meaning an objective measure, a function, that you could run on a distribution to tell how close or how far it is from being an even distribution you have little choice other than to choose your favorite search method, like gradient descent, genetic algorithms, simulated anealing, or looking at cat entrails, and using that method with the objective measure function that you have defined so that you can grovel over lots of possible distributions and find the one that you want.
So the code you are going to need to write is A) something that defines your definition of even distribution and B) a search method that will look around looking for something that is better than the best that you have found so far.
How well it works and how long it takes to get there is somewhat up to you and mostly a lot of luck.
Enjoy!