https://github.com/proafxin/seeding-kmeans
https://github.com/proafxin/seeding-kmeans
clustering-algorithm inertia kmeans-clustering kmeans-plus-plus
Last synced: 9 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/proafxin/seeding-kmeans
- Owner: proafxin
- Created: 2019-10-30T20:03:35.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-08-05T07:03:34.000Z (over 2 years ago)
- Last Synced: 2025-01-12T02:39:57.478Z (10 months ago)
- Topics: clustering-algorithm, inertia, kmeans-clustering, kmeans-plus-plus
- Language: Jupyter Notebook
- Size: 24.3 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Clustering
This is a paper on k-means clustering. It talks about the results in k-means++ paper and discusses various seeding methods of center initializations.
# Checking results
This is a python based project. So, install python 3. You will need ```jupyter``` and ```scikit-learn``` packages in order to run this experiment. Install them using these commands
```
pip install -U jupyter
pip install -U scikit-learn
```
Change directory into the root project directory. Then use ```jupyter notebook``` to open jupyter in your browser. There are two notebooks you can run for verifying the results. One is ```kmeans++_check``` and the other is ```compare```. They will create output CSV files that contain the results in subdirectory ```out```.