calculus0129 / DataMiningHW2

A repository for the second homework of the Introduction to Data Mining (CSE304) course in spring, 2024.

K-means and DBSCAN

The second homework for the introduction to data mining course on implementing the K-means algorithm and DBSCAN.

K-means++

A2_G13_t1.java

Getting Started

You need JDK 11 to run the application.

Prerequisites

Installing

Running the tests

DBSCAN

There are 2 possible options to run this.

Normal Running

From the /experiments, run this command with your specified parameters.

sh run.sh <your-specified-command>

e.g. sh run.sh ../resources/artd-31.csv

Then the program will output the ones described in the assignment manual.

Experiment

From the /experiments, run this command:

sh runExp.sh

Then the program will output the ones that yield the table in the report.

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests

Explain what these tests test and why

Give an example

Deployment

Add additional notes about how to deploy this on a live system

Built With

• Dropwizard - The web framework used
• Maven - Dependency Management
• ROME - Used to generate RSS Feeds

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Billie Thompson - Initial work - PurpleBooth

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Hat tip to anyone whose code was used
• Inspiration
• etc
• Inspiration:
  • Documentation format: https://gist.github.com/PurpleBooth/109311bb0361f32d87a2

Note: Commit message Guidelines

https://gist.github.com/abravalheri/34aeb7b18d61392251a2