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Cover Tree implementation in C++ for k-Nearest Neighbours and range search

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Updating the code to switch between float/double using ifdef. Previous code always used 64. Default is now float32. Python tests passed (see small changes to python code / package structure).

Hello, I am finding that the `nearestNeighbour` queries are not giving the correct result. In the attached test case, i have three 2D points in the cover-tree, and for two...

you hardcode euclidean distance and `Eigen::VectorXd` points. i would prefer to have the options of 1. using points that can be owned, or slices of (sparse or dense) matrices. 2....

I cloned the repository and installed the python module using setup.py. When I tried to import the library in a script using import covertree I get the following File "../knn/agents.py",...

I'm getting a segfault when using the Python API (very grateful for that addition by the way =D), am I using it correctly? The API reference PDF doesn't list the...

I found that in `bool CoverTree::insert(const pointType& p)`, several statement about setting the maxdistUB have been commented. And I wonder how does it work without setting the maxdistUB properly.

Hey, can you share the analysis for query time as value of K increases. We tried K=200 but it's taking long time to query. Test points are 21 million.

When will support for removal of points become available?