# Clustering Algorithm with a Greedy Agglomerative Heuristic and Special Distance Measures
## 2 Kohonen Neural Networks for Clustering Problem
### Proposed Algorithms
(2013) [PERSON]; [PERSON]; [PERSON] A comparative study of efficient initialization methods for the k-means clustering algorithm. _Expert Syst. Appl._**2013**, _40_, 200-210. [CrossRef]
* [PERSON] (1995) [PERSON] _Self-Organizing Maps_; Springer: Berlin/Heidelberg, Germany, 1995. * [PERSON] and [PERSON] (1997) [PERSON]; [PERSON] Self-organizing maps of symbol strings with application to speech recognition. In Proceedings of the Workshop on Self-Organizing Maps (WSOM'97), Espoo, Finland, 4-6 June 1997; pp. 2-7. * [PERSON] et al. (2022) [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] Artificial neural networks combined with the principal component analysis for non-fluent speech recognition. _Sensors_**2022**, _22_, 321. [CrossRef] [PubMed]
* [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] Vector quantization by improved Kohonen algorithm. _J. Comput._**2012**, \(4\), 2151-9617. * [PERSON] and [PERSON] (1996) [PERSON]; [PERSON]; [PERSON] Vector quantization based on dynamic adjustment of Mahalanobis distance. In Proceedings of the IEEE 1996 National Aerospace and Electronics Conference NAECON, Dayton, OH, USA, 20-23 May 1996; Volume 2, pp. 858-862. [CrossRef]
* [PERSON] and [PERSON] (2013) [PERSON]; [PERSON] [PERSON] Image segmentation by self-organizing map with Mahalanobis distance. _Int. J. Emerg. Technol. Adv. Eng._**2013**, \(3\), 2250-2459. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON]; [PERSON] Online learning on incremental distance metric for person re-identification. In Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, Bali, Indonesia, 5 December 2014. * [PERSON] and [PERSON] (2012) [PERSON]; [PERSON] Improving Performance of self-organising maps with distance metric learning method. In Proceedings of the International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, 29 April 29-3 May 2012; [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON]; Springer: Berlin/Heidelberg, Germany, 2012; Volume 7267. [CrossRef]
* [PERSON] et al. (2008) [PERSON]; [PERSON]; [PERSON] [PERSON] Face recognition under varying illumination using Mahalanobis self-organizing map. _Artif. Life Robot._**2008**, _13_, 298-301. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] Appropriate learning rate and neighborhood function of self-organizing map (SOM) for specific humidity pattern classification over Southern Thailand. _Int. J. Modeling Optim._**2016**, \(6\), 61-65. [CrossRef]
* [PERSON] (2022) [PERSON]; [PERSON] SONDROID: Android malware detection by artificial neural network trained using unsupervised learning. _Evol. Intel._**2022**, _15_, 407-437. [CrossRef]
* [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] Kohonen self-organizing map in seasonal sales planning. In _SMART Automatics and Energy. Smart Innovation, Systems and Technologies_; [PERSON], [PERSON], [PERSON]; Springer: Singapore, 2022; Volume 272. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Survival risk prediction of esophageal cancer based on the Kohonen network clustering algorithm and kernel extreme learning machine. _Mathematics_**2022**, _10_, 1367. [CrossRef]
* [PERSON] (2022) [PERSON]; [PERSON] Intelligent support for medical decision making. In _Advances in Automation III. RusAutoCon 2021. Lecture Notes in Electrical Engineering_; [PERSON], [PERSON], [PERSON]; Springer: Cham, Switzerland, 2022; Volume 857. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] A cluster validity for optimal configuration of Kohonen maps in e-learning recommendation. _Indones. J. Electr. Eng. Comput. Sci._**2022**, _26_, 482-492. [CrossRef]
* [PERSON] (2022) [PERSON] Application of computer data mining technology based on AKN algorithm in denial of service attack defense detection. _Wirel. Commun. Mob. Comput._**2022**, _2022_, 4729-526. [CrossRef]
* [PERSON] (2021) [PERSON]; [PERSON] Using a linear discriminant analysis (LDA)-based nomenclature system and self-organizing maps (SOM) for spatiotemporal assessment of groundwater quality in a coastal aquifer.