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Update README.rst
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lmcinnes committed Nov 8, 2015
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Expand Up @@ -39,9 +39,10 @@ Performance

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

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