PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Local multidimensional scaling with controlled tradeoff between trustworthiness and continuity
Jarkko Venna and Samuel Kaski
In: WSOM 05, 5-8 Sep 2005, Paris, France.

Abstract

In a visualization task, every nonlinear projection method needs to make a compromise between trustworthiness and continuity. In a trustworthy projection the visualized proximities hold in the original data as well, whereas a continuous projection visualizes all proximities of the original data. A multidimensional scaling method, curvilinear components analysis, is good at maximizing trustworthiness. We extend it to explicitly make a user-tunable parameterized compromise between trustworthiness and continuity.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:1233
Deposited By:Jarkko Venna
Deposited On:28 November 2005