With these I have found nothing identical in any of the various books of Emblems which I have examined; indeed, I cannot say that I have met with anything similar.
This chapter uses Pandas, NumPy, SciPy.
Complex networks rarely have a crisp structure that shows whether two nodes are unquestionably connected. The nodes are not always homogeneous, either. However, sometimes two items are similar, and as a complex network analyst, you need a toolset for quantifying their similarity and converting similarities into network edges.
In this chapter, you will learn (or refresh your knowledge of) several similarity measures: Hamming distance, Manhattan distance, Pearson correlation, ...