Remove differences from README

README.md

@@ -77,40 +77,3 @@ categorical data to be plotted in the pairwise scatter plot:
 
 Also note the Prev / Next buttons on this window allowing navigation to adjacent
 peeling trajectories without having to return to the tradeoff plot.
-
-Differences from EMA Workbench
-------------------------------
-
-While this code is derived from the PRIM implementation in the EMA Workbench,
-there are a number of differences.
-
-1. Redesigned several figures to add interactivity within Matplotlib's native
-   viewer, whereas it previously required an IPython Notebook.  The new
-   `box.show_details()` plot combines several of the original plots.
-
-2. Removed the `box.inspect` method.  To display the box details in tabular
-   form, simply call `print(box)`.  To display the details graphically,
-   call `box.show_details()`.
-
-3. Most `box` methods no longer accept an index argument to select the
-   peeling trajectory.  Instead, you first call `box.select(i)` to select
-   the i-th peeling trajectory, then call any other method to see the details
-   of the trajectory (`print(box)`, `box.show_details()`,
-   `box.stats`, etc.).
-
-4. Improved init method for `Prim`.  It can now handle a variety of inputs,
-   such as Pandas data frames, Numpy matrices, or any list-like object.  The
-   `setup_prim` function was removed and its functionality is now part of
-   the init method.
-
-5. Converted the peel, paste, and objective function (peeling criteria) methods,
-   which were previously part of the `Prim` class, into separate functions.
-   This is intended to allow extensibility.
-
-6. Supports additional Numpy datatypes.  This include support for non-standard
-   int, unsigned int, and float types (e.g., int16 and float32) in addition
-   to boolean values (which is treated as categorical type).  Complex types are
-   not supported.
-
-7. The pairwise scatter plot can now display categorical data and overlay the
-   box limits.