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» Data Clustering: A Review
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CIBCB
2005
IEEE
16 years 11 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...
ICPR
2002
IEEE
15 years 11 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
ECAI
2010
Springer
15 years 7 months ago
A Very Fast Method for Clustering Big Text Datasets
Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points ...
Frank Lin, William W. Cohen
197
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CIDM
2011
IEEE
14 years 10 months ago
A GPU-based interactive bio-inspired visual clustering
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Ugo Erra, Bernardino Frola, Vittorio Scarano
BMCBI
2010
139views more  BMCBI 2010»
15 years 6 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler