Analysis Of Geochemical Data Processing Based On Fuzzy Clustering

Geochemical data processing is to use geochemical approach the various elements ofgeochemical data processing, analysis, into the process of diagrams. Geochemical approach,a number of methods, these methods proposed also to be able to better deal with the data ofthe geochemical elements. With the development of society, technology, people put forwardmore and higher requirements on the handling of these geochemical.In real life, many problems can not be determined, and fuzziness.The proposed fuzzytheory and a good solution to these problems. Classification issues, and sometimes also withambiguity, on the basis of fuzzy mathematics, but also established a fuzzy clustering methodto deal with the ambiguity of the classification problem. This method in geochemicalprocessing applications is extensive, reveals elements of the combination of characteristicsbetween the law. However, its computational complexity, and a small amount of datacalculation, need to establish a similar relationship of each to be classified, and a variety ofmethods can be established. The choice to establish a similar relationship of the differentclustering results will be biased, making the clustering results unstable, and thus this paper,the application of fuzzy C-means clustering algorithm to deal with the geochemical data.In this paper, data mining, fuzzy C-means clustering algorithm combination of elementscharacteristic of a known gold and tin mines of rock samples, and elements drawn from theanalysis than clustering with the known geological data the combination of relations andconsistent with the known geological data, show that the fuzzy C-means clustering algorithmto objectively and effectively found a combination of features of the geochemicalelements. Geochemical sampling data is located in the Inner Mongolia region of apolymetallic belt, according to the clustering results infer that the region is looking for gold,silver and polymetallic mineral resources in the target area.The application of fuzzy C-means clustering method to the combination of elementscharacteristic of the first gold in rock samples analysis, the combination of elements Cu, ZnAs, Au (cluster2) and the combination of elements Co, Ni, Pb, U (cluster4) reflects themine is a multi-metal mineralization, has gone through two stages of low and hightemperature multi-metal symbiosis of gold. The results of this analysis is consistent with theactual geological data. Analysis on the characteristics of the combination of elements of thesecond of tin in rock samples were obtained reflects the combination of elements W, Li, B, F(3clusters) and the combination of elements Sn, Pb, Zn, Cu (4clusters) mine is more than one metal tin. The results of this analysis is consistent with the actual geological data. Finally,the Inner Mongolia region of a metallogenic belt of geochemical sampling data obtainedcombination of elements Mo, Cd, Bi, Sb, As, Hg, Au, Ag (1cluster), combination ofelements Cr, Zn, Mo, Cd, Pb, Bi, As, Ag (2clusters), combination of elements Co, Ni, Cu,Sn (3clusters) and the element W (4clusters), reflecting the region, mine is a gold,silver polymetallic mineralization regional. Therefore, it is inferred that the region isfavorable locations to find gold, silver and other metal mineral resources.