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» A Method for Dynamic Clustering of Data
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APPT
2005
Springer
15 years 8 months ago
Experiments on Asynchronous Partial Gauss-Seidel Method
This paper presents design and experimental results of a parallel linear equation solver by asynchronous partial Gauss-Seidel method. The basic idea of this method is derived from ...
Hiroshi Nishida, Hairong Kuang
WOWMOM
2005
ACM
109views Multimedia» more  WOWMOM 2005»
16 years 4 days ago
On Maximizing Lifetime of a Sensor Cluster
We consider the energy consumed in radio transmission of a set of sensors forming a data gathering wireless network. Our objective is to enhance the lifetime of such networks by e...
Samar Agnihotri, Pavan Nuggehalli, H. S. Jamadagni
CORR
2008
Springer
158views Education» more  CORR 2008»
15 years 6 months ago
Improved Smoothed Analysis of the k-Means Method
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Bodo Manthey, Heiko Röglin
ICML
2006
IEEE
16 years 7 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
CIBCB
2005
IEEE
16 years 6 days ago
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
Nora Speer, Holger Fröhlich, Christian Spieth...