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» Density-Sensitive Evolutionary Clustering
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AIR
2006
76views more  AIR 2006»
14 years 9 months ago
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
Evolutionary computation techniques are increasingly being applied to problems within Information Retrieval (IR). Genetic programming (GP) has previously been used with some succe...
Ronan Cummins, Colm O'Riordan
BIOINFORMATICS
2010
109views more  BIOINFORMATICS 2010»
14 years 9 months ago
Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
Phylogenetic trees are widely used to display estimates of how groups of species evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species ...
Leo van Iersel, Steven Kelk, Regula Rupp, Daniel H...
RECOMB
2008
Springer
15 years 9 months ago
Reconstructing the Evolutionary History of Complex Human Gene Clusters
Abstract. Clusters of genes that evolved from single progenitors via repeated segmental duplications present significant challenges to the generation of a truly complete human geno...
Adam C. Siepel, Eric D. Green, Giltae Song, Tom&aa...
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
15 years 3 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
HAIS
2009
Springer
15 years 2 months ago
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts an...
Guiomar Corral, A. Garcia-Piquer, Albert Orriols-P...