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» Analysis of Agglomerative Clustering
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BMCBI
2008
122views more  BMCBI 2008»
15 years 6 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
SSPR
2004
Springer
15 years 11 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ECRTS
2004
IEEE
15 years 10 months ago
Schedulability-Driven Partitioning and Mapping for Multi-Cluster Real-Time Systems
We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...
CIDM
2007
IEEE
16 years 20 days ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 12 months ago
Mining Protein Sequence Motifs Representing Common 3D Structures
Understanding the relationship between protein structure and its sequence is one of the most important tasks of current bioinformatics research. In this work, recurring protein se...
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang...