v0.1-develop

The key differences of the branch from v0.1 are the following:

• The LDA viewer sim_* functions take the similarity or distance function as a parameter. The module includes an implementation of the Jensen-Shannon divergence and this is set as the default for LDA.
• The distance matrix methods return the Manifold object, which facilitates clustering. This branch then also requires sklearn and matplotlib to import the viewer classes.