Implementasi Self-Organizing Map Pada Covid-19 Untuk Menentukan Tingkat Sembuh Dan Kematian Menggunakan Matlab
Abstract
The Self-Organizing Map (SOM) method is an artificial neural network method introduced by professor Teuvo Kohonen in the 1980s, as a topological form of Unsupervised Artificial Neural Network (Unsupervised ANN) where the learning or supervision process is not supervised because of examples. the input is not labeled with a class. The application of the SOM method is used to group geo-referenced data that integrates the visualization of the output space in cartographic repression through color, and explores the use that is calculated according to the distance in the best input space between locations. The use of MATLAB programming as an intermediary for data visualization can fulfill the completion of a research.
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