https://github.com/rmodi6/k-means

k-means clustering algorithm implemented in Python
https://github.com/rmodi6/k-means

k-means-clustering machine-learning python3

Last synced: 5 months ago
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k-means clustering algorithm implemented in Python

• Host: GitHub
• URL: https://github.com/rmodi6/k-means
• Owner: rmodi6
• License: mit
• Created: 2020-05-13T22:28:11.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-20T16:50:23.000Z (over 5 years ago)
• Last Synced: 2025-01-11T08:08:58.655Z (about 1 year ago)
• Topics: k-means-clustering, machine-learning, python3
• Language: Python
• Homepage:
• Size: 14.6 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# k-means clustering

k-means clustering algorithm implemented in Python.

### Usage

```bash

usage: kmeans.py [-h] --dataset DATASET_PATH [--k K]

                 [--distance {euclidean,manhattan}]

k-means clustering algorithm

optional arguments:

  -h, --help            show this help message and exit

  --dataset DATASET_PATH

                        path to dataset

  --k K                 number of clusters (default: 2)

  --distance {euclidean,manhattan}

                        distance function (default: Euclidean)

```

### Example

```bash

python kmeans.py --dataset dataset/Breast_cancer_data.csv --k 2 --distance manhattan

```