The second homework for the introduction to data mining course on implementing the K-means algorithm and DBSCAN.
A2_G13_t1.java
You need JDK 11 to run the application.
There are 2 possible options to run this.
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.
From the /experiments
, run this command:
sh runExp.sh
Then the program will output the ones that yield the table in the report.
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Add additional notes about how to deploy this on a live system
- Dropwizard - The web framework used
- Maven - Dependency Management
- ROME - Used to generate RSS Feeds
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We use SemVer for versioning. For the versions available, see the tags on this repository.
- Billie Thompson - Initial work - PurpleBooth
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
- Hat tip to anyone whose code was used
- Inspiration
- etc
- Inspiration:
- Documentation format: https://gist.github.com/PurpleBooth/109311bb0361f32d87a2
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