Clustering

About

Chapter 1: The Computational Library covers the case study on Clustering of Documents using Two Different Tools. It is divided into two parts: 1A, and 1B. 1A case study uses Orange tool whereas 1B case study uses R programming language to perform clustering.

How to Cite

Please cite this compendium as: Lamba, Manika, & Madhusudhan, Margam. (2021). Clustering of Documents using Two Different Tools (Version 1.1). https://doi.org/10.5281/zenodo.5203303

Contents

The compendium contains the data, code, and notebook associated with the case studies. It is organized as follows:

• The dataset.csv file contains the data. The same dataset is used for both the case studies.
• The clustering.R file contains the R code for 1B case study.
• The Case_Study_1B.ipynb file contains Jupyter notebook for 1B case study.

In addition to the provided sample data, you can use dataset from Appendix A, Appendix B, Appendix C, Curated Datasets, or your own dataset to perform clustering.

How to Download or Install

There are several ways to use the compendium’s contents and reproduce the analysis:

• Download the compendium as a zip archive from the GitHub repository

  • After unpacking the downloaded zip archive, you can explore the files on your computer.

• Reproduce the analysis in the cloud without having to install any software. The same Docker container replicating the computational environment used by the authors can be run using BinderHub on mybinder.org:

  • Click RStudio : to launch an interactive RStudio session in your web browser for hands-on practice for 1B case study. In the virtual environment, open the clustering.R file to run the code.

  • Click Jupyter+R : to launch an interactive Jupyter Notebook session in your web browser using R kernel. When you execute code within the notebook, the results appear beneath the code.

  ^ Limitations of Binder

  1. The server has limited memory so you cannot load large datasets or run big computations.
  2. Binder is meant for interactive and ephemeral interactive coding so an instance will die after 10 minutes of inactivity.
  3. An instance cannot be kept alive for more than 12 hours.

Visualize the Results

A storyboard is built to summarize the visualizations for 13 case studies performed in the book. To know more about the case studies, and the methodology used to get the results, read the book.

Results for 1A Case Study

Results for 1B Case Study

Licenses

Text, Figures: © 2021 Manika Lamba and Margam Madhusudhan

Code, Data, Hex-sticker: MIT License