测试SensoGraph，一种用于快速感官评价的几何方法
Testing SensoGraph, a geometric approach for fast sensory evaluation
摘要：
本文介绍了SensoGraph，一种新的方法，快速感官评价使用二维几何技术。在品尝环节中，评估员根据样品之间的相似性，按照自己的标准将样品放在桌布上。为了分析收集到的数据，首先对每块桌布进行几何聚类，提取样本之间的联系。然后，这些连接被用来构建一个全局相似性矩阵。最后，使用图形绘制算法来获得2D共识图形，该图形通过（1）定位更接近已被全局感知为相似的那些样本以及（2）显示样本之间的连接强度来反映小组的全局意见。该建议是通过执行四个品尝会议，三种类型的面板品尝不同的葡萄酒，并通过开发一个新的软件来实现所提出的技术进行验证。所获得的结果表明，图形提供了类似的定位的样品作为共识地图获得多因素分析（MFA），进一步提供额外的信息，样品之间的连接，不存在于任何以前的方法。主要结论是，使用几何技术提供的信息补充MFA，和不同类型的。最后，所提出的方法在计算上能够管理比MFA大得多的评估员，这对于大量消费者通过互联网进行图片比较是有用的。
英文摘要：
This paper introduces SensoGraph, a novel approach for fast sensory evaluation using two-dimensional geometric techniques. In the tasting sessions, the assessors follow their own criteria to place samples on a tablecloth, according to the similarity between samples. In order to analyse the data collected, first a geometric clustering is performed to each tablecloth, extracting connections between the samples. Then, these connections are used to construct a global similarity matrix. Finally, a graph drawing algorithm is used to obtain a 2D consensus graphic, which reflects the global opinion of the panel by (1) positioning closer those samples that have been globally perceived as similar and (2) showing the strength of the connections between samples. The proposal is validated by performing four tasting sessions, with three types of panels tasting different wines, and by developing a new software to implement the proposed techniques. The results obtained show that the graphics provide similar positionings of the samples as the consensus maps obtained by multiple factor analysis (MFA), further providing extra information about connections between samples, not present in any previous method. The main conclusion is that the use of geometric techniques provides information complementary to MFA, and of a different type. Finally, the method proposed is computationally able to manage a significantly larger number of assessors than MFA, which can be useful for the comparison of pictures by a huge number of consumers, via the Internet.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
