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» A New Study on Distance Metrics as Similarity Measurement
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BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
14 years 2 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...
JCIT
2008
112views more  JCIT 2008»
13 years 7 months ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco
CVPR
2003
IEEE
14 years 9 months ago
Joint Manifold Distance: a new approach to appearance based clustering
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
Andrew W. Fitzgibbon, Andrew Zisserman
TSMC
2002
80views more  TSMC 2002»
13 years 7 months ago
Performance metric alerting: a new design approach for complex alerting problems
Alerting systems and related decision-making automation are widely used to enhance the safety and capability of controlled processes across many applications. Traditional alerting ...
L. C. Yang, J. K. Kuchar
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...