Clustering via Jenks Natural Breaks (JNB) method

Version 1.0.0 (23 KB) by MS
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
0.0
(0)
53 Downloads
Updated 23 May 2023
View License on GitHub
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 (2024). Clustering via Jenks Natural Breaks (JNB) method (https://github.com/MSH19/Sensor-Signal-Analysis), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Clustering_Jenks_Natural_Breaks_Matlab

Detect_First_Stable_Data_Matlab

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
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.