Miniproject for ECE 4750 (dsp) at the University of Virginia

Goal : Use K-Means Clustering and Hierarchical Agglomerative Clustering to identify trends in data in an InSAR dataset of the south section Monitor Merrimac Memorial Bridge Tunnel

Language Used: Python 2.7

Packages Used:

matplotlib - used for graphing

scipy - provide algorithmic support

Module Descriptions:

Struct.py Simple classes to model a rectangular area of interest, an InSAR point, and a cluster

segment.py Uses EPSG:2284 coordinate system to select which InSAR points to use

main.py Runs algorithms and plots the resulting data, shows averages as well

To run this code:

Download the code. Run 'python main.py -h' to see help. Easiest way to run is 'python main --file='file' -c', where 'file' is a path to a shapefile. This will read insar data from a shape file. The -c option will allow the user to choose different coordinates than what I used.

Link to Video Presentation:

https://www.movenote.com/v/DPCdzSCW9JDnK