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This study proposes a novel algorithm that enhances the distinctiveness of the traditional vector of locally aggregated descriptors (VLAD) using spatial distribution clue of local features. The algorithm introduces a new method to compute the spatial distribution entropy (SDE) of clusters. Unlike conventional methods, this algorithm considers the distribution of full spatial information provided by local feature detectors rather than only utilizing the spatial coordinate statistics. For eachdoi:10.1186/s13640-018-0247-0 fatcat:qnhllkvjrncx3o7fyqd6nuy2y4