The sequel to clusterview. Built around the point and cluster structure of the kmeans project, aims to improve upon the design and structural weakness of clusterview and add many interesting interactive ways to explore kmeans.
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TODO:
* Port over and improve clusterview and it's opengl stuff. It should use k-means point and cluster, as well as
the math library from kmeans (add a test to dist). Additionally, the point and cluster of the clusterview should
inherit from k-means point and cluster so that it can use the algorithm correctly. All other aspects of point and
cluster in the clusterview program can be kept.
* See note in opengl_widget. Make it a static class.
* Do the same thing you did for opengl_widget in mode_handlers, leave the MODE_HANDLERS constant global.
* Port over all tests from clusterview except the math tests. Improve point tests to include weight.
* Turn kmeans into a python package and import it here.
* Add a property to the point called weight, which is set when you click edit point. It will give a popup that
allows you to specify a point weight. DEFAULT WEIGHT IS 1
* Use kmeans to do the stuff - strip down point x y to refer to it's kmeans parent.
* Weighted cluster mean is rendered as a hollow circle and unweighted k-means mean is a x.
* Saving should save the weights, load should load the weights.
* Make the current context exception string in opengl widget a constant and use that instead.
* Add typing to every function except setters and __XYZ__ functions (__init__ can still have typing)
