Interactive Quantification of Categorical Variables in Mixed Data Sets

Johansson, SaraLinköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan (author)

Data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables. Quantification of categorical variables makes it possible to represent this type of data using techniques designed for numerical data. This paper presents a quantification process of categorical variables in mixed data sets that incorporates information on relationships among the continuous variables into the process, as well as utilizing the domain knowledge of a user. An interactive visualization environment using parallel coordinates as a visual interface is provided, where the user is able to control the quantification process and analyse the result. The efficiency of the approach is demonstrated using two mixed data sets.

TEKNIK OCH TEKNOLOGIER Annan teknik Mediateknik hsv//swe
ENGINEERING AND TECHNOLOGY Other Engineering and Technologies Media Engineering hsv//eng
Categorical data
mixed data
parallel coordinates
quantification
correspondence analysis
clustering
TECHNOLOGY
TEKNIKVETENSKAP

Jern, Mikael,1946-Linköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan(Swepub:liu)mikje37 (author)
Johansson, JimmyLinköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan(Swepub:liu)jimjo94 (author)
Linköpings universitetVisuell informationsteknologi och applikationer (creator_code:org_t)

In:Information Visualisation, 2008. IV '08. 12th International ConferenceLos Alamitos, California : IEEE Computer Society, s. 3-109780769532684

By the author/editor: Johansson, Sara; Jern, Mikael, 19 ...; Johansson, Jimmy

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Other Engineerin ...; and Media Engineerin ...

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