52 search results - page 9 / 11 » Euclidean Embedding of Co-Occurrence Data |
193
Voted
GIS
2007
ACM
16 years 22 days ago
2007
ACM
In this paper, we present an original network graph embedding to speed-up distance-range and k-nearest neighbor queries in (weighted) graphs. Our approach implements the paradigm ...
BROADNETS
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
ICMLA
2008
15 years 1 months ago
2008
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
104
Voted
NIPS
1997
15 years 1 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
103
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KDD
2008
ACM
16 years 2 days ago
2008
ACM
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...