Clustering using SOFM and genetic algorithm

Clustering using SOFM and genetic algorithm

In this analysis a process to demarcate areas with analogous wind conditions is shown. For this purpose a dispersion graph between the wind directions will be traced for all stations placed in the studied zone. These distributions will be compared among themselves using the centroids extracted with...

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Hauptverfasser: Palomares Salas, J C, Aguera Perez, A, de la Rosa, J J G, Ramiro, J G
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Sprache:eng
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Bioinformatics
Classification algorithms
Clustering algorithms
Gallium
Genomics
Lattices
Neurons
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creator Palomares Salas, J C
Aguera Perez, A
de la Rosa, J J G
Ramiro, J G
description In this analysis a process to demarcate areas with analogous wind conditions is shown. For this purpose a dispersion graph between the wind directions will be traced for all stations placed in the studied zone. These distributions will be compared among themselves using the centroids extracted with SOFM algorithm. This information will be used to build a matrix, allowing us working simultaneously with all relations. By permutation of elements in this matrix it is possible to group relationed stations.
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subjects Bioinformatics
Classification algorithms
Clustering algorithms
Gallium
Genomics
Lattices
Neurons
title Clustering using SOFM and genetic algorithm
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