This paper describes a novel information visualization technique that combines multidimensional scaling and hierarchical clustering to support the exploratory analysis of multidimensional data. The technique displays the results of multidimensional scaling using a scatter plot where the proximity of any two items' representations is approximate to their similarity according to a Euclidean distance metric. The results of hierarchical clustering are overlaid onto this view by drawing smoothed outlines around each nested cluster. The difference in similarity between successive cluster combinations is used to colour code clusters and make stronger natural clusters more prominent in the display. When a cluster or group of items is selected, multidimensional scaling and hierarchical clustering are re-applied to a filtered subset of the data, and animation is used to smooth the transition between successive filtered views. As a case study we demonstrate the technique being used to analyse survey data relating to the appropriateness of different phrases to different emotionally charged situations.
An increasingly common approach being taken by taxonomists to define the relationships between taxa in alternative
hierarchical classifications is to use a set-based notation which states relationship between two taxa from alternative
classifications. Textual recording of these relationships is cumbersome and difficult for taxonomists to manage. While
text based GUI tools are beginning to appear which ease the process, these have several limitations. Interactive visual
tools offer greater potential to allow taxonomists to explore the taxa in these hierarchies and specify such relationships.
This paper describes the Concept Relationship Editor, an interactive visualisation tool designed to support the assertion
of relationships between taxonomic classifications. The tool operates using an interactive space-filling adjacency layout
which allows users to expand multiple lists of taxa with common parents so they can explore and assert relationships
between two classifications.
Conference Committee Involvement (3)
Visualization and Data Analysis 2011
24 January 2011 | San Francisco Airport, California, United States
Visualization and Data Analysis 2010
18 January 2010 | San Jose, California, United States
Visualization and Data Analysis 2009
19 January 2009 | San Jose, California, United States
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