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» Similarity Measurement in Context
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AUSAI
2006
Springer
15 years 1 months ago
Clustering Similarity Comparison Using Density Profiles
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
Eric Bae, James Bailey, Guozhu Dong
ICDE
2008
IEEE
125views Database» more  ICDE 2008»
15 years 11 months ago
MUSE: Multi-Represented Similarity Estimation
In modern multimedia databases, objects can be specified by a large variety of feature representations. In this paper, we present a novel technique for multi-represented similarity...
Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin,...
ICDE
2002
IEEE
143views Database» more  ICDE 2002»
15 years 11 months ago
Discovering Similar Multidimensional Trajectories
We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
ICPR
2006
IEEE
15 years 11 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
80
Voted
CGF
2010
128views more  CGF 2010»
14 years 10 months ago
Isosurface Similarity Maps
In this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Isosurface similarity maps present structural information of a volume d...
Stefan Bruckner, Torsten Möller