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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Bibliographische Detailangaben
Hauptverfasser: Palomares Salas, J C, Aguera Perez, A, de la Rosa, J J G, Ramiro, J G
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bioinformatics
Classification algorithms
Clustering algorithms
Gallium
Genomics
Lattices
Neurons
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Beschreibung
Zusammenfassung: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.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2010.5596795