ausblenden:
Schlagwörter:
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Zusammenfassung:
The Google search engine has had a huge success with its PageRank
web page ranking algorithm, which exploits global, rather than
local, hyperlink structure of the World Wide Web using random
walk. This algorithm can only be used for graph data, however.
Here we propose a simple universal ranking algorithm for vectorial
data, based on the exploration of the intrinsic global geometric
structure revealed by a huge amount of data. Experimental results
from image and text to bioinformatics illustrates the validity of
our algorithm.
