Method for visualization of multivariate data in a lower dimension

Boris M. Igelnik

doi:10.1117/12.424926

3 May 2001 Method for visualization of multivariate data in a lower dimension

Boris M. Igelnik

Proceedings Volume 4302, Visual Data Exploration and Analysis VIII; (2001) https://doi.org/10.1117/12.424926
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper describes a method for visualization of multivariate data in a lower dimension, primarily in 2D. The method, called Distance Conservation with Filtering (DCF), creates a parameterized mapping of a data set in a lower dimension. Special functions, called filters, extract the most important pairs of points with distances between them to be preserved. A particular construction of a filter and the corresponding algorithm for learning the mapping parameters are described in detail. The DCF is favorably compared with other visualization methods on a number of data sets.

Citation Download Citation

Boris M. Igelnik "Method for visualization of multivariate data in a lower dimension", Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); https://doi.org/10.1117/12.424926

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