We investigated nearest-neighbor density-based clustering for hyperspectral image analysis. Four existing techniques were considered that rely on a K-nearest neighbor (KNN) graph to estimate local density and to propagate labels through algorithm-specific labeling decisions. We first improved two of these techniques. a KNN variant of the density peaks clustering method dpc. https://missouriquiltcoes.shop/product-category/precut-patterns/