Cluster Analysis

This repo contains notebooks and functions used to run cluster analysis on biomass products. They can be clustered by either location or products. To run the analysis, see template files for a walkthrough (or previously done analysis for further functionality)

Files

The repository includes the following files and directories:

• By_Prod\ contains files used in an intial clustering attempt by locations
• By_Loc\ contains files used in an intial clustering attempt by products
• clustering_explorations contains notebooks with clustering results for various locations, as well as a Simulation exercise
• data contains all the datasets used for the clustering
• Prod_Clustering_Template.ipynb: template with demonstration of how to run and visualize the clustering
• Clusters_by_n.ipynb: exploration using different parameters in clustering algorithms to find appropriate values
• similarity_metric_template.ipynb : template to find product similarity using hamming distance
• utils.py : contains functions used during clustering and analysis and preparation of data
• utils_char_analysis.py : contains functions used for finding product similarity metrics
• README.md: This file, providing an overview of the repository and instructions for running the code.

Dependencies

The code requires the following dependencies:

• Python 3.x
• NumPy
• python sklearn
• Pandas
• seaborn
• matplotlib
• scipy
• import functions from utils/utils_char_analysis