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Clustering in analytical chemistry.

作者信息

Drab Klaudia, Daszykowski Michal

出版信息

J AOAC Int. 2014 Jan-Feb;97(1):29-38. doi: 10.5740/jaoacint.sgedrab.

Abstract

Data clustering plays an important role in the exploratory analysis of analytical data, and the use of clustering methods has been acknowledged in different fields of science. In this paper, principles of data clustering are presented with a direct focus on clustering of analytical data. The role of the clustering process in the analytical workflow is underlined, and its potential impact on the analytical workflow is emphasized.

摘要

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