The paper describes a proposed method of modification of self-organizing map and its application to special cluster analysis (delivering the information about selected essential feature, which values derive from an ordered set) and also to estimation of the selected (basic) feature for newly occurring patterns. The utilization of this technique in the issue of real estate appraisal has been described. The visualizations of a cluster map, selected estimation maps and numerical results for this problem have been presented.
CITATION STYLE
Morajda, J. (2004). Special cluster analysis and basic feature estimation with a modification of self-organizing map. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 646–651). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_98
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