A decision theoretic approach to hierarchical classifier design
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A low-cost and efficient electronic nose system for quantification of multiple indoor air contaminants utilizing HC and PLSR
2022, Sensors and Actuators B: ChemicalCitation Excerpt :Thus, HC gives better classification results with fewer training samples than single complex classifiers [14], such as neural network and k-nearest neighbor (KNN) classifier. Therefore, hierarchical classifier, based on the divide-and-conquer strategy, seems to be a good alternative for the classification of single and mixed gases [16]. Then, the concentration of single gases or individual components in mixture gases could be estimated utilizing neural network or multiple regression models.
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