Comparison of spectral clustering, K-clustering and hierarchical clustering on e-nose datasets: Application to the recognition of material freshness, adulteration levels and pretreatment approaches for tomato juices
- Resource Type
- Article
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- In
Chemometrics and Intelligent Laboratory Systems 15 April 2014 133:17-24 - Subject
- Language
- ISSN
- 0169-7439