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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2005
119views more  BMCBI 2005»
15 years 6 months ago
Proceedings of the Second Annual Conference of the MidSouth Computational Biology and Bioinformatics Society
The MCBIOS 2004 conference brought together regional researchers and students in biology, computer science and bioinformatics on October 7th-9th 2004 to present their latest work....
Jonathan D. Wren, William Slikker Jr.
DATAMINE
1999
113views more  DATAMINE 1999»
15 years 6 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel
BMCBI
2008
101views more  BMCBI 2008»
15 years 6 months ago
Term-tissue specific models for prediction of gene ontology biological processes using transcriptional profiles of aging in dros
Background: Predictive classification on the base of gene expression profiles appeared recently as an attractive strategy for identifying the biological functions of genes. Gene O...
Wensheng Zhang, Sige Zou, Jiuzhou Song
ICPR
2008
IEEE
16 years 7 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
ILP
2005
Springer
16 years 3 days ago
Spatial Clustering of Structured Objects
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...