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基于模糊C-means聚类的地球化学数据分析
引用本文:孟海东,管世明,徐贯东. 基于模糊C-means聚类的地球化学数据分析[J]. 金属矿山, 2012, 41(4): 106-108,143
作者姓名:孟海东  管世明  徐贯东
作者单位:1.内蒙古科技大学矿业工程学院;2.维多利亚大学工程与科学学院
基金项目:教育部"春晖计划"合作项目,内蒙古自治区高等学校科学研究重点项目
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。

关 键 词:数据挖掘  模糊C-means聚类  地球化学元素  元素组合特征

Research of Geochemical Data Processing Based on Fuzzy C-means
Meng Haidong , Guan Shiming , Xu Guandong. Research of Geochemical Data Processing Based on Fuzzy C-means[J]. Metal Mine, 2012, 41(4): 106-108,143
Authors:Meng Haidong    Guan Shiming    Xu Guandong
Affiliation:1.School of Mining Engineering, Inner Mongolia University of Science and Technology;2.School of Engineering and Science, Victoria University;
Abstract: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.
Keywords:Data mining  Fuzzy C-means clustering  Geochemical elements  Combination characteristics of elements
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