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Rousseeuw et al., 2006 - Google Patents

Robustness and outlier detection in chemometrics

Rousseeuw et al., 2006

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Document ID
8588775705664496823
Author
Rousseeuw P
Debruyne M
Engelen S
Hubert M
Publication year
Publication venue
Critical reviews in analytical chemistry

External Links

Snippet

In analytical chemistry, experimental data often contain outliers of one type or another. The most often used chemometrical/statistical techniques are sensitive to such outliers, and the results may be adversely affected by them. This paper presents an overview of robust …
Continue reading at www.academia.edu (PDF) (other versions)

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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