Clustering via Jenks Natural Breaks (JNB) method

版本 1.0.0 (3.7 MB) 作者: MS
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
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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.

引用格式

MS (2024). Clustering via Jenks Natural Breaks (JNB) method (https://github.com/MSH19/Clustering-via-Jenks-Natural-Breaks), GitHub. 检索来源 .

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Clustering_Jenks_Natural_Breaks_Matlab

Detect_First_Stable_Data_Matlab

Evaluation of Jenks Natural Breaks Clustering Algorithm

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