Local multidimensional scaling with controlled tradeoff between trustworthiness and continuity
Jarkko Venna and Samuel Kaski
In: WSOM 05, 5-8 Sep 2005, Paris, France.
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.
|EPrint Type:||Conference or Workshop Item (Paper)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Subjects:||Theory & Algorithms|
|Deposited By:||Jarkko Venna|
|Deposited On:||28 November 2005|