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» A Method for Dynamic Clustering of Data
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BMCBI
2010
121views more  BMCBI 2010»
15 years 2 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
HAPTICS
2006
IEEE
15 years 11 months ago
Perceptual Analysis of Haptic Icons: an Investigation into the Validity of Cluster Sorted MDS
The design of usable haptic icons (brief informational signals delivered through the sense of touch) requires a tool for measuring perceptual distances between icons that will be ...
Jérôme Pasquero, Joseph Luk, Shannon ...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 4 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
164
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ESANN
2004
15 years 6 months ago
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps
Abstract. The use of self-organizing maps to analyze data often depends on finding effective methods to visualize the SOM's structure. In this paper we propose a new way to pe...
Cesar García-Osorio, Jesús Maudes, C...
ICIP
1999
IEEE
16 years 6 months ago
A Method of Shading and Shadowing in Image-Based Rendering
This paper presents a method to generate dynamic shading of image-based objects without geometric models. Since conventional rendering techniques cannot be used to render the shad...
Akihiro Katayama, Yukio Sakagawa, Hideyuki Tamura