GDD Clustering - Distance and density based clustering

Version 1.22.0.0 (14.2 KB) by zel
Distance and density based clustering algorithm using Gaussian kernel
553 Downloads
Updated 30 Nov 2017

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Please cite as;
Emre Güngör, Ahmet Özmen, Distance and density based clustering algorithm using Gaussian kernel, In Expert Systems with Applications, Volume 69, 2017, Pages 10-20, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2016.10.022.
(http://www.sciencedirect.com/science/article/pii/S095741741630553X)
for clustering datasets and or shapesets, you can look;
https://cs.joensuu.fi/sipu/datasets/

Cite As

zel (2024). GDD Clustering - Distance and density based clustering (https://www.mathworks.com/matlabcentral/fileexchange/64687-gdd-clustering-distance-and-density-based-clustering), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
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GDD_Clustering/

GDD_Clustering/exampleTests/

Version Published Release Notes
1.22.0.0

revision test code files, correction of variable names in test files,

1.21.0.0

variable name change for ease of usage and understanding

1.2.0.0

variable name change for ease of usage and understanding

1.1.0.0

Correcting naming for cluster centroids in the comments

1.0.0.0

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