Spatial Data Clustering based on Self Organizing Map
نویسنده
چکیده
Recently, research area in neural network based spatial analysis have been receiving increasing attention in the last few years. There are number of reasons and the strongest appeal of Artificial Neural Network (ANN) is the suitability for machine learning in computational adaptivity. Machine learning in computational neural network consist of adjusting connection weights to improve the performance of a network[1]. This paper presents the introduction of SOM using the spatial data clustering. The aim of this paper is to improve Artificial Neural Network(ANN) in spatial analysis and stimulate SOM in spatial analysis which are methodologically and technically sound, rather than ad hoc.
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