27 search results - page 1 / 6 » Interpreting large visual similarity matrices |
APVIS
2007
13 years 6 months ago
2007
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
APVIS
2007
13 years 6 months ago
2007
In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper presents a vision-based approach to SLAM in large-scale environments with minimal sensing and computational requirements. The approach is based on a graphical repres...
VISUALIZATION
1995
IEEE
13 years 8 months ago
1995
IEEE
Biological sequence similarity analysis presents visualization challenges, primarily because of the massive amounts of discrete, multi-dimensional data. Genomic data generated by ...