摘要
采用数据挖掘技术中模糊C-means聚类算法,以地球化学元素为数据对象、样品分析结果为属性值,对某已知金矿区和锡矿区岩石样品的元素组合特征进行了分析。聚类分析得出的元素组合关系与已知地质资料相一致,表明模糊C-means聚类算法能够客观、有效地发现地球化学元素的组合特征。同时,对位于内蒙古地区某多金属成矿带的地球化学采样数据进行了分析,根据聚类结果推断该地区是寻找金、银多金属矿产资源的目标区域。
Combination characteristics of geochemical elements in the known gold ore field and tin ore field are analyzed by means of C-means which takes the geochemical elements as data objects and the sample analysis results as attribute values.The results indicate that C-means clustering algorithm can discover the combination characteristics of geochemical elements objectively and effectively in the given ore fields.At the same time,the combination characteristics of geochemical elements in a geochemical sampling area which is located in a polymetallic metallogenic belt is analyzed.Based on the analyzing result we can deduce that the geochemical sampling area is a target region which is related with gold,silver and polymetallic resources.
出处
《金属矿山》
CAS
北大核心
2012年第4期106-108,143,共4页
Metal Mine
基金
教育部"春晖计划"合作项目(编号:Z2009-1-01041)
内蒙古自治区高等学校科学研究重点项目(编号:NJZZ11140)
