کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8838496 1613133 2018 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ComDim: From multiblock data analysis to path modeling
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
ComDim: From multiblock data analysis to path modeling
چکیده انگلیسی
ComDim (Common Dimensions) analysis was initially introduced within the context of sensometrics to analyze conventional and free choice sensory profiling data, and more generally multiblock datasets. Thereafter, it has gained some popularity in chemometrics and has been extended in different ways to meet specific needs. Recently, this strategy of analysis has been adapted to the supervised case, under the name of P-ComDim. Going further, we propose herein to extend ComDim to Path-ComDim where the datasets at hand are assumed to have a specific pattern of directed relations among them reflecting, for instance, a chain of influence. The aim of Path-ComDim is to analyze these datasets taking into account the structural connections among them. After a brief review of alternative path modeling approaches, Path-ComDim is detailed encompassing both methodological and algorithmic aspects. In the particular case of a single block to be predicted, it is shown that Path-ComDim is equivalent to P-ComDim analysis. Path-ComDim analysis is illustrated on the basis of a case study involving instrumental, sensory and preference data. Finally, the outcomes are compared to those obtained from alternative path modeling methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Quality and Preference - Volume 67, July 2018, Pages 27-34
نویسندگان
, , , ,