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SPLITTING OF CALIBRATION DATA BY CLUSTER ANALYSIS
引用本文:TORMODNAES,TOMASISAKSSON. SPLITTING OF CALIBRATION DATA BY CLUSTER ANALYSIS[J]. 地理学报(英文版), 1991, 0(1)
作者姓名:TORMODNAES  TOMASISAKSSON
作者单位:Matforsk Oslovegen I,N-1430 As,Norway,Matforsk,Oslovegen I,N-1430 As,Norway
摘    要:from eorresponding valuesof x.The most eommon aPProaeh to this Problem 15 linear regression(or ealibration),but1 inear methods are usually best suited for quite limited regions alld are not generallyaPPlieable.If a linear fit 15 not satisfactory,alternative aPProaehes are non一linear regression,non一Parametrie regression,transformations and sPlitting of the data into subgrouPs


SPLITTING OF CALIBRATION DATA BY CLUSTER ANALYSIS
TORMOD NAES TOMAS ISAKSSON Matforsk,Oslovegen l,N- s,Norway. SPLITTING OF CALIBRATION DATA BY CLUSTER ANALYSIS[J]. Journal of Geographical Sciences, 1991, 0(1)
Authors:TORMOD NAES TOMAS ISAKSSON Matforsk  Oslovegen l  N- s  Norway
Abstract:The topic of the present paper is the splitting of calibration data into subgroups with improved linearity in each group.The method proposed is based on a criterion which is a weighted average of a Mahalanobis distance and a squared regression residual.The algorithm used to find the solution is based on fuzzy clustering.Two examples are given to illustrate the theory.
Keywords:Calibration  Cluster analysis  Local linearity  Mahalanobis distance  Residual distance
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