https://github.com/ankitkomar1/hlbca_clustering
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: ankitkomar1
- Language: Python
- Default Branch: main
- Size: 2.93 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.md
Hybrid Link-Based Clustering Algorithm (HLBCA)
This project implements the Hybrid Link-Based Clustering Algorithm (HLBCA), an enhanced version of the ROCK algorithm designed for efficient clustering of categorical data.
Installation
pip install -r requirements.txt
Usage
python main.py
Features
- Efficient clustering of categorical data
- Customizable threshold for optimal clustering
Owner
- Login: ankitkomar1
- Kind: user
- Repositories: 1
- Profile: https://github.com/ankitkomar1
GitHub Events
Total
- Push event: 1
- Create event: 2
Last Year
- Push event: 1
- Create event: 2
Dependencies
requirements.txt
pypi
- numpy ==1.26.0
- pandas ==2.1.0
- scikit-learn ==1.3.0