The genetic classification of ferromanganese nodules is an important geological problem in characterizing seabed mineral resources. The discrimination of nodules by geochemical characteristics has been a challenge since the discovery of nodules in the seabed. In recent years, with the application of Big Earth Data mining and the application of machine learning technologies, creative ideas and methods has resulted in the discrimination of nodules using geochemical characteristics. Based on the geochemical data of ferromanganese nodules obtained in Pacific Ocean over the years, the four types of nodules in deep- sea basin, the diagenetic, mixed, hydrogenetic- Ⅰ and hydrogenetic- Ⅱ types, have been identified successfully by Gaussian mixture model cluster analysis technology. Furthermore, the spatial prediction results of different genetic types of nodules show that the northwest Pacific Ocean is one of the main distribution areas of hydrographic- Ⅰ cobalt- rich nodules. This genetic type is mainly distributed in the intermountain basins of Marcus- Wake seamounts, north of the Magellan seamounts, the Marshall seamounts and the southwest of the Central Pacific seamount group, as well as the nearby Pigafetta basin and the northwest of central Pacific basin. These basins are prospective areas for the future exploration of cobalt- rich ferromanganese nodules in the northwest Pacific Ocean.