M. Mandelzweig

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We introduce a distance (similarity)-based mapping for the visualization of high-dimensional patterns and their relative relationships. The mapping preserves exactly the original distances between points with respect to any two reference patterns in a special two-dimensional coordinate system, the relative distance plane (RDP). As only a single calculation(More)
Previously, we introduced a distance (similarity)-based mapping for the visualization of high-dimensional patterns and their relative relationships. The mapping preserves exactly the original distances from all points to any two reference patterns in a special two-dimensional coordinate system, the relative distance plane (RDP). We extend the RDP mapping's(More)
The analysis and interpretation of high-dimensional biomedical datasets for the purposes of confirmatory or exploratory data analysis is a challenging problem. The process raises issues that are not only typically associated with high-dimensional data but also with software implementations of the visualization models. The relative distance plane projection(More)
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