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

Title
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
Authors
Keywords
-
Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 133, Issue -, Pages 17-24
Publisher
Elsevier BV
Online
2014-02-08
DOI
10.1016/j.chemolab.2014.01.017

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