SPLITTING OF CALIBRATION DATA BY CLUSTER-ANALYSIS
SPLITTING OF CALIBRATION DATA BY CLUSTER-ANALYSIS
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DOI：
10.1002/cem.1180050106
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发表时间：
1991-01-01
影响因子：
2.4
通讯作者：
ISAKSSON, T
中科院分区：
文献类型：
--
作者：
NAES, T;ISAKSSON, T
本文的主题是将校准数据分成子组，并且每组中的线性度得到改善。 所提出的方法基于马哈拉诺比斯距离和平方回归残差的加权平均值的标准。 用于寻找解决方案的算法基于模糊聚类。 给出了两个例子来说明该理论。
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.