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What kind of data structure should be used for nearest neighbor searching in 2d dimension?
I have searched and found out that there are many data structures for this: k-d tree, quadtree, octree.
So what kind of structure should I use?
I suggest a R-Tree, it's designed for that purpose.
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What is the fastest classification algorithm?
If I have a very large data set and a very large number of features and I need to conduct classification on it within about an hour.
What would be the fastest classification algorithm?
What would be the fastest classification algorithm?
It would depend on the nature of your data, size and dimensions.
Moreover, it would depend on the trade-off you want to achieve between speed and accuracy.
There is no single best algorithm for all cases.
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I found this game and I'm very curious for know about of algorithm implemented in it.
I don't know how look for this, I don't know what is this algorithm and I want study it.
This is the game http://www.rustylake.com/puzzle-and-skill-games/coloruid.html
Really Thank you.
This seems like a basic "Flood Fill" algorithm.
It's performed on custom 'pixels', but the principle seems the same.
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Recently I came across a online tool, which given a summation calculates its formula. I have tried for many such summations and has given me correct answer.
I was curious as to which algorithm does it use to solve it.
EDIT: It turns out the tool uses wolframaplha api's. But even if you search on wolfram alpha you will get the same result.
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Can anybody help me in getting some useful ideas for estimating the size of a hadoop cluster and cluster hardware.
Well, it all depends on the amount of data you are handling and what exactly you are catering to. But, you can refer to this pdf here, to get more insight on how you can estimate.
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what is the work flow of page rank algorithm?
Have a look at "The Anatomy of a Large-Scale Hypertextual Web Search Engine" by Sergey Brin and Larry Page.
Have a read of the simplified algorithm section here.