Revert README adjustment

README.rst

@@ -26,18 +26,6 @@
     :target: https://mybinder.org/v2/gh/scikit-learn-contrib/hdbscan
     :alt: Launch example notebooks in Binder
 
-=======
-About this fork
-=======
-
-While writing my Bachelor's Thesis which includes a comparison of clustering 
-validity metrics like the one presented in 
-`this paper <https://www.semanticscholar.org/paper/Relative-clustering-validity-criteria%3A-A-overview-Vendramin-Campello/ad93d3b55fb94827c4df45e9fc67c55a7d90d00b>`_ 
-(but focused on the application of metrics on non-spherical/density-based clusters) 
-I noticed that DBCV might actually perform better if it just used euclidean distances 
-instead of mutual reachablity distances when constructing the minimum spanning trees. 
-This fork adds a parameter to the DBCV metric which toggles the usage of mutual reachability distances. 
-(the approach of the paper referenced above is also used in the DBCV paper)
 
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 HDBSCAN