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Visualization of High-Dimensional Data With Relational Perspective Map

Category: Data Management, Software and Web Development

Overview This paper introduces a method called Relational Perspective Map (RPM) to visualize distance information in high-dimensional spaces. Like conventional multidimensional scaling, the RPM algorithm aims to produce proximity preserving 2-Dimensional (2-D) maps. The main idea of the RPM algorithm is to simulate a multiparticle system on a closed surface: whereas the repulsive forces between the particles reflect the distance information, the closed surface holds the whole system in balance and prevents the resulting map from degeneracy. A special feature of RPM algorithm is its ability to partition a complex dataset into pieces and map them onto a 2-D space without overlapping. Compared to other multidimensional scaling methods, RPM is able to reveal more local details of complex datasets.

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Publisher: Palgrave Macmillan
File Format: PDF
Date Published: Oct 14, 2008
Format: White Papers
Topics: Graphics Applications, Data Visualization

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