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Related Work

In recent years several research efforts have been directed at the display of large multivariate datasets.
 

Restructure the dataset to identify patterns: Wong et. al. [26]
Describes the construction of a multi-resolution display using wavelet approximations where the data size is reduced through repeated merging of neighboring points.

Advantage

Disadvantage Let the characteristics of the dataset reveal itself: Wegman and Luo [23]
Suggests over-plotting translucent data points/lines so that sparse areas fade away while dense areas appear emphasized.

Disadvantage

Pixel-level Visualization Schemes: Keim et. al. [14]
Permits the display of a large number of records on a typical workstation screen.

Disadvantage

Visualizing hierarchical clusters using tree-map: Wills [25]
Extends upon the tree-map idea [20] by recursively subdividing the tree-map based on a dissimilarity measure. Their main purpose is to display the clustering end results, and in particular, the data partitions at a given dissimilarity value.

Disadvantage


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