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SPLITTING OF CALIBRATION DATA BY CLUSTER-ANALYSIS
被引：30
作者：
NAES, T
ISAKSSON, T
机构：
关键词：
CALIBRATION;
CLUSTER ANALYSIS;
LOCAL LINEARITY;
MAHALANOBIS DISTANCE;
RESIDUAL DISTANCE;
D O I：
10.1002/cem.1180050106
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：49 / 65
页数：17
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