用k-最近邻算法对PUNGGUR (ASTOMULYO)陨石地球化学成分进行分类

Triyana Muliawati
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引用次数: 0

摘要

2021年初在南榜省榜姑尔阿斯托穆利奥村坠落的陨石是一个值得进一步研究的有趣话题。这个罕见的物体被认为具有独特的地球化学成分,并与其他陨石有特殊的联系。我们的目标是通过将它与之前研究过的其他知名陨石进行比较来追踪它的分类。我们使用k近邻算法来接近分类过程。使用的数据库211代表来自陨石化学分析的每个已知陨石群的地球化学数据。结果表明,在k值= 5,测试数据占比为5/95 (in %)的情况下,该陨石的地球化学组成与h型球粒陨石组的地球化学组成较为接近,值精度为91.67%。这些结果与Punggur陨石具有较高的总铁和金属成分的事实相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLASSIFICATION OF THE GEOCHEMICAL COMPOSITION OF METEORITE OF PUNGGUR (ASTOMULYO) BY k-NEAREST NEIGHBOR ALGORITHM
The fall of a meteorite in Astomulyo Village, Punggur, Lampung Province in early 2021 is an interesting topic for further study. This rare object has been suggested to have a unique geochemical composition and a special connection with other meteorites. We aimed to trace its classification by comparing it with other well-known meteorites studied previously. We approach the classification process using the k-nearest neighbor algorithm. The database used 211 represents the geochemical data for each known meteorite group from chemical analyses of meteorites. As a result, we identified that with a k-value = 5 and the proportion of test data 5/95 (in %), the geochemical composition of this meteorite is relatively close to that of the H-type chondrite group with a value accuracy of 91.67%. These results are consistent with the fact that the meteorite of Punggur has a high total iron and metallic composition.
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