2006 | OriginalPaper | Chapter
Hierarchical Clustering for Boxplot Variables
Authors : Javier Arroyo, Carlos Maté, Antonio Muñoz-San Roque
Published in: Data Science and Classification
Publisher: Springer Berlin Heidelberg
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Boxplots are well-known exploratory charts used to extract meaningful information from batches of data at a glance. Their strength lies in their ability to summarize data retaining the key information, which also is a desirable property of symbolic variables. In this paper, boxplots are presented as a new kind of symbolic variable. In addition, two different approaches to measure distances between boxplot variables are proposed. The usefulness of these distances is illustrated by means of a hierarchical clustering of boxplot data.