SDSC Expanse Notebook: Clustering_Visulizations

This README file provides instructions for Expanse users on how to run basic clustering methods, implement them in Python notebooks, and execute them on Expanse.
Listof Content

Import Module
Launch Galyleo
Environment Modules
Install Modules
Location
Submit Ticket

Import Module:

make_blobs
numpy
matplotlib
KMeans
dendorgram
linkage
AgglomerativeClustering

Launch Galyleo

For specific information about launching Galyleo, please refer to this GitHub repository.

Environment Modules

By utilizing --env-modules, we can load any software installed in Expanse. For instance, executing this command line will load CPU modules and Anaconda3 within the Jupyter session.

CPU: --env-modules cpu/0.17.3b,anaconda3
```
galyleo launch --account abc123 --partition shared --cpus 2 --memory 4 --time-limit 00:30:00 --env-modules cpu/0.17.3b,anaconda3/2021.05
```
Install Modules

To run Introduction_to_Clustering notebook, we do not need to install additional packages.

Location

Clustering_Visulizations
├── Introduction_to_Clustering.ipynb
├── README.md

Submit Ticket

This notebook was last tested on 3/31. If you find anything that needs to be changed, edited, or if you would like to provide feedback or contribute to the notebook, please submit a ticket by contacting us at:

Email: consult@sdsc.edu

We appreciate your input and will review your suggestions promptly!

Clustering Visualizations