Clustering algorithm of irregular marine geological sampling data based on spatial interpolation
A large number of core sampling data were obtained from marine geological survey.Different kinds of measurement data have different sampling depths,resulting in irregularly scattered distribution of 3D geological sampling.The irregularly scattered data on the three dimensional were not able being clustered using traditional clustering algorithm especially in the case of big data analysis.The present study designs a clustering algorithm for irregular geological sampling data based on spatial interpolation.In this way,the 3D geological scatter data can be effectively reduced to 2D data,and the computational complexity can be reduced.This algorithm can better solve the classification and analysis of inequality measurement data in geological bodies,and provides a basic technical method for marine geological big data analysis.
marine geological surveycore sampling datacluster analysisspatial interpolation3-D data
万方数据
维普
