Application of Rv-Difference bouquet graphs in selection of a subset of attributes in sensory profiling
1Asst Prof. in Mathematics, The New College, Chennai India
2Head, P.G Department of Mathematics, D.G. Vaishnov College, Arumbakkam Chennai India.
Email:- muththakikaja@yahoo.co.in
Sensory profiling is the process during which a panel of researchers score several attributes on a number of products to be compared and Reducing the list of variables is an important step in the process of sensory profiling. The reduced set can be used for saving fatigue and time of the members of research panel. In this paper, we propose a method based on Rv-difference bouquet graph introduced in1, maximum edge weight clique problem and principal component analysis to select a subset of heterogeneous variables. We constrain ourselves with so many cases in which first principal component account to 90% total variance. We present the evidences for the suitability of the method for the cases in which large number of variables are considered.
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1D. Kaja Mohaideen and 2R. Sattanathan , "Application of Rv-Difference bouquet graphs in selection of a subset of attributes in sensory profiling ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 1, Page Number 47-52, 2016Copy the following to cite this URL:
1D. Kaja Mohaideen and 2R. Sattanathan , "Application of Rv-Difference bouquet graphs in selection of a subset of attributes in sensory profiling ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 1, Page Number 47-52, 2016Available from: https://www.ultrascientist.org/paper/681/
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