Dataset for: Machine learning application to automatically classify heavy minerals in river sand by using SEM/EDS data
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Among them, three tables include the EDS data of analyzed elements including 90-second elemental data of 2255 grains, 40-second elemental data of 492 grains and 6- second elemental data of 320 grains, respectively. The tables 4-7 include the confusion matrixes based on datasets of different analyzing times and different decision attributes.
创建时间：
2019-07-03
