Method of clusterization of c6 coal seam zones of different thickness in the Dniprovska mine field by germanium concentration

V. Ishkov, Ye.S. Kozii
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Abstract

In the article, based on the conducted research and analysis of the results of clustering, the most effective method of creating objective typification of zones of coal seam c6 of the Dniprovska Mine of different thickness according to germanium concentrations was established. The typification procedure is a systematization of objects according to a priori specified features. Cluster analysis, taxonomy, pattern recognition, and factor analysis are usually used for this purpose. The authors of the article carried out clustering using various methods implemented in the most different professional statistical software platforms, performed their analysis and justified the choice of the most optimal of them. The optimal method of clustering areas of different thicknesses of the coal seam was determined. The analysis of the dendrogram of the results of clustering by the weighted centroid-median method of the sites of the c6 seam by germanium content, unlike others, allows not only to achieve the most stable division of the entire set of sites under consideration, but also to maximize the visualization of their division by classes at different scale levels in the absence of a priori hypotheses regarding the number clusters and their forms. At the same time, the structure of clusters is clearly distinguished, regardless of the scale level of their formation, and the sequence of combining individual deposits and their groups into the resulting cluster is clearly traced. These advantages make it possible to make maximum use of already existing information for the development of natural typifications of с6 coal seam areas by germanium content and to interpret the obtained results in geological terms. It was established that the weighted centroid median method of cluster analysis is the most optimal for the subjectivity-free researcher to divide the sections of coal seam c6 of the Dniprovska Mine field according to germanium content into taxa. The constructed dendrograms of the clustering of deposits by germanium content can be used as a basis for the development of a natural typification of the coal seams of the Dniprovska Mine for their subsequent geological and economic assessment. This, in turn, will make it possible to make maximum use of already available information and interpret the obtained results in geological and genetic concepts, which will provide the opportunity to use it for the complex use of mineral raw materials and to solve strategic issues of sustainable development of Ukraine. Keywords: cluster analysis, coal seam, germanium, clusters, taxa, dendrogram of clustering results, weighted centroid method.
Dniprovska矿区不同厚度c6煤层带锗浓度聚类方法
本文在对聚类结果进行研究分析的基础上,建立了根据锗浓度对Dniprovska矿c6煤层不同厚度带进行客观分型的最有效方法。类型化过程是根据先验的特定特征对对象进行系统化。聚类分析、分类法、模式识别和因子分析通常用于此目的。本文作者使用不同专业统计软件平台上实现的各种方法进行聚类,进行分析并证明其中最优的选择是合理的。确定了不同煤层厚度区域聚类的最佳方法。利用锗含量加权质心中位数法对c6煤层位置进行聚类结果的树状图分析,与其他方法不同,不仅可以实现对所考虑的整个位置集的最稳定划分,而且可以在没有关于聚类数量及其形式的先验假设的情况下,最大限度地可视化其在不同尺度水平上的分类划分。同时,无论其形成的规模如何,簇的结构都得到了清晰的区分,并且可以清楚地追踪到单个矿床及其群组合成簇的顺序。这些优点使人们有可能最大限度地利用现有资料,根据锗含量对煤层区进行自然分类,并从地质角度解释已获得的结果。结果表明,聚类分析的加权质心中位数法是无主观性研究者根据锗含量对Dniprovska矿区c6煤层分段进行分类的最优方法。按锗含量构建的矿床簇状树状图可以作为发展德尼普罗斯卡煤矿煤层自然类型的基础,以便对其进行随后的地质和经济评价。反过来,这将有可能最大限度地利用已有的资料,并解释地质和遗传概念方面取得的成果,这将为利用这些资料复杂地利用矿物原料和解决乌克兰可持续发展的战略问题提供机会。关键词:聚类分析,煤层,锗,聚类,分类群,聚类结果树图,加权质心法。
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