Comparison of semi-supervised and supervised approaches for classification of e-nose datasets: Case studies of tomato juices

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Chemometrics and Intelligent Laboratory Systems

• Publication date

  2015-08-15

• Fields of study

  Materials Science, Chemistry, Computer Science

• Identifiers
  DOI 10.1016/J.CHEMOLAB.2015.07.001
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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