Clustering via Jenks Natural Breaks (JNB) method
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
https://github.com/MSH19/Sensor-Signal-Analysis/tree/main/Clustering_Jenks_Natural_Breaks_Matlab
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Clustering-via-Jenks-Natural-Breaks-Matlab
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
Jenks Natural Breaks is a data clustering method. It is an optimization process that finds the best arrangement of values into different classes. It can be used for step-change detection in noisy data. In this example, a one-dimensional array of noisy values is used. The method is applied to the array to find the index of the interface separating the high and low values.
Cite As
MS (2026). Clustering via Jenks Natural Breaks (JNB) method (https://github.com/MSH19/Clustering-via-Jenks-Natural-Breaks), GitHub. Retrieved .
General Information
- Version 1.0.0 (5.19 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
