Wavelet-Based Clustering Algorithm for Raster Data
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In order to promote the quality and efficiency of K-means clustering algorithm,a new wavelet-based clustering algorithm has been proposed in this paper.By utilizing the advantage of saving the key feature information after decomposing of raster data with wavelet transformation,the initial values of clustering center have been gotten by applying K-means algorithm to decomposing low frequency raster data.The experiment shows that the algorithm has advantages of high efficiency,better stability and higher clustering quality.