|laziness, impatience, and hubris|
Randomly biased, random numbers.by BrowserUk (Pope)
|on Dec 05, 2013 at 21:59 UTC||Need Help??|
BrowserUk has asked for the
wisdom of the Perl Monks concerning the following question:
I'm testing an algorithm involving 2D coordinate pairs. I've been generating random datasets like this:
Which is okay as far as it goes, but being pseudo-random, tends to pretty equally distribute the points throughout the 2D plane.
But the worse case scenarios for the algorithm are when you get a bunch of points grouped in one place and then a few outliers far away. Either in another bunch, or widespread.
I could generate a point; generate a bunch around that point (using a subrange of the coordinate space, and then fully randomly add a few more, b u u t... that doesn't seem kosher.
So, any thoughts on a 'better way'?
With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
"Science is about questioning the status quo. Questioning authority".
In the absence of evidence, opinion is indistinguishable from prejudice.