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» Geometric Clustering Using the Information Bottleneck Method
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 4 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
127
Voted
BMCBI
2010
112views more  BMCBI 2010»
15 years 4 months ago
In silico fragmentation for computer assisted identification of metabolite mass spectra
Background: Mass spectrometry has become the analytical method of choice in metabolomics research. The identification of unknown compounds is the main bottleneck. In addition to t...
Sebastian Wolf, Stephan Schmidt, Matthias Mül...
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 8 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
DILS
2008
Springer
15 years 6 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
MVA
2007
127views Computer Vision» more  MVA 2007»
15 years 5 months ago
Vehicle Orientation Detection Using Vehicle Color and Normalized Cut Clustering
This paper proposes a novel approach for vehicle orientation detection using “vehicle color” and edge information based on clustering framework. To extract the “vehicle colo...
Jui-Chen Wu, Jun-Wei Hsieh, Yung-Sheng Chen, Cheng...