PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Canonical analysis of individual vocabulary profiling data
Tapio Lokki and Kai Puolamäki
In: 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX)(2010).


Canonical analysis is an ordination technique which allows a direct comparison of two data matrices. It is often applied in ecological studies and here it is shown how canonical analysis, in particular redundancy analysis, can be used to analyze sensory evaluation data. The example data are obtained with individual vocabulary profiling study of concert hall acoustics. The redundancy analysis is compared with hierarchical multiple factor analysis. In addition, it is shown how redundancy analysis can be used to explain the subjective data with different objective data, in this case room acoustical parameters and physical measures of the studied concert halls.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Multimodal Integration
ID Code:7962
Deposited By:Kai Puolamäki
Deposited On:17 March 2011