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» Algorithms for Clustering Data
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163
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BMCBI
2004
87views more  BMCBI 2004»
15 years 6 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
PAA
2006
15 years 6 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
BMCBI
2006
216views more  BMCBI 2006»
15 years 6 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
141
Voted
CEC
2007
IEEE
16 years 12 days ago
A co-evolutionary framework for regulatory motif discovery
Abstract— In previous work, we have shown how an evolutionary algorithm with a clustered population can be used to concurrently discover multiple regulatory motifs present within...
Michael A. Lones, Andy M. Tyrrell
CHI
2005
ACM
16 years 6 months ago
An experiment in discovering personally meaningful places from location data
As mobile devices become location-aware, they offer the promise of powerful new applications. While computers work with physical locations like latitude and longitude, people thin...
Changqing Zhou, Pamela J. Ludford, Dan Frankowski,...