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» Clustering for metric and nonmetric distance measures
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FQAS
2009
Springer
157views Database» more  FQAS 2009»
14 years 2 months ago
On Fuzzy vs. Metric Similarity Search in Complex Databases
Abstract. The task of similarity search is widely used in various areas of computing, including multimedia databases, data mining, bioinformatics, social networks, etc. For a long ...
Alan Eckhardt, Tomás Skopal, Peter Vojt&aac...
SGAI
2007
Springer
14 years 1 months ago
Metrics for Mining Multisets
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
Walter A. Kosters, Jeroen F. J. Laros
ICDE
2002
IEEE
143views Database» more  ICDE 2002»
14 years 8 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...
CVPR
2004
IEEE
14 years 9 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 7 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang