Semi-supervised construction of general visualization hierarchies


We have recently developed a principled approach to interactive non-linear hierarchical visualization [8] based on the Generative Topographic Mapping (GTM). Hierarchical plots are needed when a single visualization plot is not sufficient (e.g. when dealing with large quantities of data). In this paper we extend our system by giving the user a choice of initializing the child plots of the current plot in either interactive, or automatic mode. In the interactive mode the user interactively selects ``regions of interest'' as in [8], whereas in the automatic mode an unsupervised minimum message length (MML)-driven construction of a mixture of GTMs is used. The latter is particularly useful when the plots are covered with dense clusters of highly overlapping data projections, making it difficult to use the interactive mode. Such a situation often arises when visualizing large data sets. We illustrate our approach on a data set of 2300 18-dimensional points and mention extension of our system to accommodate discrete data types.

Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Event Title: International Conference on Artificial Intelligence, 2002
Event Type: Other
Event Dates: 2002-01-01 - 2002-01-01
Uncontrolled Keywords: hierarchical visualization,Generative Topographic Mapping,interactive mode,automatic mode,overlapping data projections
Last Modified: 15 Jul 2024 08:33
Date Deposited: 11 Sep 2009 13:37
PURE Output Type: Paper
Published Date: 2002
Authors: Tino, Peter
Sun, Yi
Nabney, Ian T. (ORCID Profile 0000-0003-1513-993X)


Export / Share Citation


Additional statistics for this record