Abstract
Building on the method of Valentine et al. [2013], we explore the influence of data types and pa- rameters on a learning algorithm that can be used to automatically identify seamounts. Knowl- edge about the distribution of these undersea volcanoes is important for several disciplines, such as oceanography, marine biology,
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