865 B
865 B
| 1 | # Example CSV data for clustering algorithm testing. |
|---|---|
| 2 | # |
| 3 | # This file demonstrates the expected format for input data to the clustering algorithms. |
| 4 | # Each row represents a data point, and each column represents a feature. |
| 5 | # |
| 6 | # Replace the placeholder data below with your own dataset. |
| 7 | # You can add or remove columns as needed, but ensure the column headers are descriptive. |
| 8 | # |
| 9 | # Note: The first row MUST be the header row containing column names. |
| 10 | # |
| 11 | # Example usage: |
| 12 | # 1. Save this file as 'example_data.csv' or a similar descriptive name. |
| 13 | # 2. Run the clustering algorithm using the command: /run-clustering |
| 14 | # (The plugin will prompt you for the data file name if it isn't the default). |
| 15 | feature_1,feature_2,feature_3 |
| 16 | 1.0,2.0,3.0 |
| 17 | 4.0,5.0,6.0 |
| 18 | 7.0,8.0,9.0 |
| 19 | 10.0,11.0,12.0 |
| 20 | 13.0,14.0,15.0 |
| 21 | # Add more data points here... |
| 22 | # Example: 16.0,17.0,18.0 |
| 23 | # Example: 19.0,20.0,21.0 |