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» A New Study on Distance Metrics as Similarity Measurement
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JCST
2008
124views more  JCST 2008»
13 years 9 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
14 years 26 days ago
Index-based Most Similar Trajectory Search
The problem of trajectory similarity in moving object databases is a relatively new topic in the spatial and spatiotemporal database literature. Existing work focuses on the spati...
Elias Frentzos, Kostas Gratsias, Yannis Theodoridi...
BMCBI
2008
142views more  BMCBI 2008»
13 years 9 months ago
Strategies for measuring evolutionary conservation of RNA secondary structures
Background: Evolutionary conservation of RNA secondary structure is a typical feature of many functional non-coding RNAs. Since almost all of the available methods used for predic...
Andreas R. Gruber, Stephan H. F. Bernhart, Ivo L. ...
TON
2010
141views more  TON 2010»
13 years 7 months ago
Weighted spectral distribution for internet topology analysis: theory and applications
Abstract—Comparing graphs to determine the level of underlying structural similarity between them is a widely encountered problem in computer science. It is particularly relevant...
Damien Fay, Hamed Haddadi, Andrew Thomason, Andrew...
FOCS
1999
IEEE
14 years 1 months ago
Approximate Nearest Neighbor Algorithms for Hausdorff Metrics via Embeddings
Hausdorff metrics are used in geometric settings for measuring the distance between sets of points. They have been used extensively in areas such as computer vision, pattern recog...
Martin Farach-Colton, Piotr Indyk