Issue 14 (3) 2015 pp. 95-104
Kamila Migdał-Najman, Krzysztof Najman
Dynamical Clustering of Streaming Data with a Growing Neural Gas Network
Keywords: Cluster analysis, Analytical methods, Research results
One of characteristic feature of contemporary data bases is their growing dynamics. The number of registered entities as well as their group structure tends to dynamically grow. In order to effectively determine the rapidly changing number and structure of clusters, appropriate methods of cluster analysis have to be applied. The paper presents the results of simulation research concerning the possibility of applying self-learning GNG neural networks in clustering data from data streams.
|MLA||Migdał-Najman, Kamila, and Krzysztof Najman. "Dynamical Clustering of Streaming Data with a Growing Neural Gas Network." Acta Sci.Pol. Oeconomia 14.3 (2015): 95-104.|
|APA||(2015). . Acta Sci.Pol. Oeconomia 14 (3), 95-104|
|ISO 690||MIGDAł-NAJMAN, Kamila, NAJMAN, Krzysztof. Dynamical Clustering of Streaming Data with a Growing Neural Gas Network. Acta Sci.Pol. Oeconomia, 2015, 14.3: 95-104.|