Icon-based Visualization of Large High-Dimensional Datasets

Authors:
Ping Chen;Chenyi Hu;Wei Ding;Heloise Lynn;Yves Simon
Affiliations:
-;-;-;-;-
Venue:
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Year:
2003

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Abstract

High dimensional data visualization is critical todata analysts since it gives a direct view of originaldata. We present a method to visualize large amount ofhigh dimensional data. We divide dimensions of datainto several groups. Then, we use one icon to represent each group, and associate visual properties of eachicon with dimensions in each group. A high dimensional data record will be represented by multiple different types of icons located in the same position. Furthermore, we use summary icons to display local detailsof viewer's interests and the whole data set at meantime. We show its effectiveness and efficiency through a case study on a real large data set.