International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 6, June 2020 Edition [ISSN 2250-3153]


Clustering around latent variables approach to detect panel disagreement in three–way tea sensory evaluation
      DR Fernando, S Samita, TUS Peiris
Abstract: Sensory evaluation plays a remarkable role in maintaining the quality standards of beverages such as tea. The quality, which determines the price of tea, is evaluated by professional tea tasters. Uncertainty and vagueness of sensory evaluation has been a serious issue in selection of good quality tea. An issue existing when analyzing sensory data to detect panel disagreement is that data of three dimensional (three–way) or higher are often reduced to two–way data. Present study aimed to investigate the possibility of using Clustering around Latent Variables for three–way data (CLV3W) method to detect panel disagreement in sensory data of Sri Lankan tea.

Reference this Research Paper (copy & paste below code):

DR Fernando, S Samita, TUS Peiris (2020); Clustering around latent variables approach to detect panel disagreement in three–way tea sensory evaluation; International Journal of Scientific and Research Publications (IJSRP) 10(06) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.06.2020.p10291
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