Using 3D Visualization to Debug a Graph-based Algorithm

Recently I have been working on an idea for an algorithm that discovers patterns in raw streams of data. This pattern recognition algorithm uses deep learning to classify certain combinatorial features that uniquely identify an input stream.

I'm going to first talk a bit about the algorithm so it makes sense as to why visualization is such an important step in iterating and tweaking code that most efficiently implements the algorithm.

The Algorithm

In a previous post I introduce the idea for the algorithm and how a graph-based approach might work.