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CIBCB
2005
IEEE
16 years 20 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...
IWPC
2005
IEEE
16 years 19 days ago
Clustering Software Artifacts Based on Frequent Common Changes
Changes of software systems are less expensive and less error-prone if they affect only one subsystem. Thus, clusters of artifacts that are frequently changed together are subsyst...
Dirk Beyer, Andreas Noack
ICCS
2005
Springer
16 years 16 days ago
A Multi-level Approach for Document Clustering
Abstract. The divisive MinMaxCut algorithm of Ding et al. [3] produces more accurate clustering results than existing document cluster methods. Multilevel algorithms [4, 1, 5, 7] h...
Suely Oliveira, Sang-Cheol Seok
DIS
2003
Springer
16 years 8 days ago
Clustering Orders
We propose a method of using clustering techniques to partition a set of orders. We define the term order as a sequence of objects that are sorted according to some property, such...
Toshihiro Kamishima, Jun Fujiki
IJCNN
2000
IEEE
15 years 11 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...