Add more methods from similaritymeasures.py to compare function

[audreyyku]

Currently, the only available option is to base the similarity score based on the Frechet distance between the two lines in the following equation: e^(-frechet_dist/line1.length)

Ideally, other measures of similarity can be used from the similaritymeasures package.
https://pypi.org/project/similaritymeasures/

Methods covered
This library includes the following methods to quantify the difference (or similarity) between two curves:

Partial Curve Mapping (PCM) method: Matches the area of a subset between the two curves [1]
Area method: An algorithm for calculating the Area between two curves in 2D space [2]
Discrete Frechet distance: The shortest distance in-between two curves, where you are allowed to very the speed at which you travel along each curve independently (walking dog problem) [3, 4, 5, 6, 7, 8]
Curve Length method: Assumes that the only true independent variable of the curves is the arc-length distance along the curve from the origin [9, 10]
Dynamic Time Warping (DTW): A non-metric distance between two time-series curves that has been proven useful for a variety of applications [11, 12, 13, 14, 15, 16]