Autonomous Data Density Based Clustering Algorithm
The package contains:
1. ADDClustering.m - The source code of the autonomous data density based clustering algorithm (ADD) ;
2. demo.m - The demo
References:
[1] P. P. Angelov, X. Gu, G. Gutierrez, J. A. Iglesias and A. Sanchis, "Autonomous Data Density based clustering method," 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016, pp. 2405-2413.
[2] X. Gu, "Self-organising Transparent Learning System," Phd Thesis, Lancaster University, 2018.
This algorithm is an improved version [2] of the original ADD clustering algorithm published in [1]. Please cite this algorithm using the above references if this code helps.
For any queries about the codes, please contact Prof. Plamen P. Angelov (p.angelov@lancaster.ac.uk) and Mr. Xiaowei Gu (x.gu3@lancaster.ac.uk)
Programmed by Xiaowei Gu
Zitieren als
P. P. Angelov, X. Gu, G. Gutierrez, J. A. Iglesias and A. Sanchis, "Autonomous Data Density based clustering method," 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016, pp. 2405-2413.
X. Gu, "Self-organising Transparent Learning System," Phd Thesis, Lancaster University, 2018.
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Version | Veröffentlicht | Versionshinweise | |
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1.0.1 | Updated the description. |
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1.0.0 |