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» A Genetic Algorithm for Clustering on Very Large Data Sets
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BIOCOMP
2006
13 years 10 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
13 years 10 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 15 days ago
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching
A large and reliable DNA codeword library is key to the success of DNA based computing. Searching for sets of reliable DNA codewords is an NP-hard problem, which can take days on ...
Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu
MLDM
2005
Springer
14 years 2 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
DAWAK
2003
Springer
14 years 1 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli