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Does anyone know of any open source implementation (preferably in java) of Kallmann's DCDT algorithm? If there's another DCDT algorithm that has been implemented, that may work as well. I wasn't sure if I should post this here or on CSTheory StackExchange, so let me know if this is the wrong place to post.
EDIT: Here's the algorithm: http://infoscience.epfl.ch/record/100269/files/Kallmann_and_al_Geometric_Modeling_03.pdf
I think there is no great difference between the DCDT algorithm from Kallmann, and the implementation in CGAL. At the functionality level, at least: CGAL 2D CDT are as dynamic as the DCDT from Kallmann.
CGAL also has Java bindings, via the cgal-bindings project, and the 2D CDT data structure is wrapped.
He keeps the source code on his web page: http://graphics.ucmerced.edu/software/tripath/index.html
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Is the anybody who can give a link where is explained the implementation of merge sort algorithm in java? I understand how the algorithm works but I don't know how to implement it in java. What I have found on the internet couldn't make me to figure out what is doing each condition or loop of the code. Thank you in advance.
Try to look at
java.util.TimSort
But it hard to understand, I don't recommend if you're beginner.
Better one is
java.util.Arrays::legacyMergeSort
more simple but out of date implementaion.
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I'm doing a big machine learning project in Java.
I tried some libraries but they were uncomfortable. Not many algorithms, few examples, unclear function parameters.
So, I wanted to ask if anyone knew a convenient library in Java for machine learning. (In terms of: easy to import, easy to use, lots of samples, etc.)
In addition, I have already read the csv file to a matrix. So if the library uses it, it will be better. Thank you.
Here are a few links
ApacheSAMOA: https://samoa.incubator.apache.org/
Weka: http://www.cs.waikato.ac.nz/ml/weka/
Rapid Miner: https://rapidminer.com/
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I found on web this algorithm http://goanna.cs.rmit.edu.au/~gl/research/comp_geom/delaunay/delaunay.html but it is written in C. Is there a way to convert it to java? Or could you suggest divide and conquer delaunay triangulation in java? I've tried Novosoft, C2J and Tangible Software Solutions, C++2Java converters but they provide very complex code(I mean that I have to do a lot of manual work to make it work). I read about mtSystems converter but I can't found it on the web to try. I'll appreciate any help with converting or with algorithm itself.
You can try an incremental algorithm for example from Paul Bourke:http://paulbourke.net/papers/triangulate/. Its also very fast but especially easier to understand.
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I know you can use pHash from .NET or Java, but I would like a pure .NET (preferably) or Java implementation. Are there any others available? I am interested in the image hashing functionality specifically.
A perceptual hash is a way of creating a numeric hash of images and then being able to compare those hashs to see if the images are similar. It allows for really fast image recognition.
Here is an Java implementation of pHash for images by Elliot Shepherd.
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I'd like to set up a large linear programming model to solve an interesting problem. I would be most comfortable in Java. What tools/libraries are available?
There were several suggestions from an earlier question that I posted:
CPLEX
Dash
OptimJ
COIN-OR
lp_solve
and possibly more...
I used lp_solve with success. It looks like there is a native Java API, but I've only used the text file interface. It supports the semi-standard MPS and LP file formats, which I found more convenient for trying out different solvers (such as glpsol).
Currently, google digs up this Java Linear Programming libs:
http://scpsolver.org/
http://javailp.sourceforge.net/
http://www.joptimizer.com/linearProgramming.html
http://www.win-vector.com/blog/2012/11/yet-another-java-linear-programming-library/
http://commons.apache.org/math/userguide/optimization.html
http://ojalgo.org/