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I don't know your objections to your own suggestion, Basically, it is too directed. That is, it requires parameters to be chosen -- the ratio between clustered picks and non-clustered; the size of clustering subrange; etc. -- which means I would essentially be choosing what to test and thus excluding anything I haven't thought of. so I don't know if this one is interesting or not This is very interesting. I particularly like the idea of using images -- whether hand-drawn, or grabbed at random from an image search -- to bias the picking process. It has so many possibilities ... Eg. grab a random image, process the image with a filter to reduce it to a just points of a particular color or hue; or maybe use a Conway's Life type process to manipulate the pixels until groups of similar hues the reduce to single points; or a dozen other ideas; and then use those points as my dataset. The only problem with the idea is that it has triggered so many possibilities for investigation, I might never get back to testing the algorithm :) Thanks for kicking down the doors on the box of my thought train! 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.
In reply to Re^2: Randomly biased, random numbers.
by BrowserUk
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