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README.rst

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@@ -39,9 +39,10 @@ Performance
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Significant effort has been put into making the hdbscan implementation as fast as
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possible. It is more than twice as fast as the reference implementation in Java
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and is competitive with highly optimized single linkage implementations in C and C++.
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`current performance can be seen in this notebook <http://nbviewer.jupyter.org/github/lmcinnes/hdbscan/blob/master/notebooks/Benchmarking%20scalability%20of%20clustering%20implementations.ipynb>`_
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and further performance improvements should be forthcoming in the next few releases.
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and is currently faster highly optimized single linkage implementations in C and C++.
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`version 0.3 performance can be seen in this notebook <http://nbviewer.jupyter.org/github/lmcinnes/hdbscan/blob/master/notebooks/Benchmarking%20scalability%20of%20clustering%20implementations.ipynb>`_ .
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Version 0.4 brings a new minimum spanning tree algorithm and dramatic speedups, particularly
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for low dimensional data.
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Additional functionality

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