Article citationsMore>>

Hong, X., Wang, J. and Qi, G. (2014) 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. Chemometrics and Intelligent Laboratory Systems, 133, 17-24.
https://doi.org/10.1016/j.chemolab.2014.01.017

has been cited by the following article:

• TITLE: Uncovering Consumer Mindsets Regarding Raw Beverages

  AUTHORS: Ryan Zemel, Attila Gere, Petraq Papajorgji, Glenn Zemel, Howard Moskowitz

  KEYWORDS: Raw, Food, Beverages, Health, BiMiLeap

  JOURNAL NAME: Food and Nutrition Sciences, Vol.9 No.3, March 30, 2018

  ABSTRACT: Nutritional fads in the health and fitness world are constantly changing. Each new craze has its believers and critics. For the consumer, “what to believe” becomes a topic filled with uncertainty. This paper presents a systematic approach to understanding what consumers believe about the health messaging of “raw beverages”. The paper presents both substantive results from US consumers, as well as demonstrates a general approach by which researchers can more deeply understand the consumer mind with respect to the specifics of health and wellness issues.