Abstract
Cluster analysis is one of the main topics in data mining. It helps to group elements with similar behavior in one group. Therefore, a good clustering method will produce high quality clusters containing objects similar to one another within the same group and dissimilar to the objects in other clusters. In the current research work one of the basic grid-based methods for clustering is modelled using Generalized nets.
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Acknowledgment
The authors are grateful for the support provided by the National Science Fund of Bulgaria under grant DN 02/10 New Instruments for Knowledge Discovery from Data and their Modelling.
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Bureva, V., Sotirova, E., Popov, S., Mavrov, D., Traneva, V. (2017). Generalized Net of Cluster Analysis Process Using STING: A Statistical Information Grid Approach to Spatial Data Mining. In: Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2017. Lecture Notes in Computer Science(), vol 10333. Springer, Cham. https://doi.org/10.1007/978-3-319-59692-1_21
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