Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data

• Published in: arXiv.org
• Main Authors: Glavin, Frank G, Madden, Michael G
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.06.2018
• Subjects: Algorithms; Classification; Classifiers; Data analysis; Organic chemistry; Outliers (statistics); Solvents

Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characterized by the data, whereas in many applications, training data for some classes may be entirely absent, rare, or statist...