Eigensolver Methods for Progressive Multidimensional Scaling of Large Data
本文檔由 technic123 分享于2011-11-17 13:37
We present a novel sampling-based approximation techniquefor classical multidimensional scaling that yields an extremely fast layoutalgorithm suitable even for very large graphs. It produces layouts thatcompare favorably with other methods for drawing large graphs, and itis among the fastest methods available. In addition, our approach allowsfor progressive computation, i.e...
- 文檔格式:
- 文檔大小:
- 1.49M
- 文檔頁數(shù):
- 12頁
- 頂 /踩數(shù):
- 0 / 0
- 收藏人數(shù):
- 1
- 評(píng)論次數(shù):
- 0
- 文檔熱度:
- 文檔分類:
- IT計(jì)算機(jī) — 數(shù)據(jù)結(jié)構(gòu)與算法
- 添加到豆單
下載文檔
收藏