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PRL
2010
188views more  PRL 2010»
14 years 4 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
AIRS
2006
Springer
15 years 1 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
SIGIR
2008
ACM
14 years 9 months ago
Theoretical bounds on and empirical robustness of score regularization to different similarity measures
We present theoretical bounds and empirical robustness of score regularization given changes in the similarity measure. Categories and Subject Descriptors: I.5.3 Clustering: Simil...
Fernando D. Diaz
COMGEO
2010
ACM
14 years 10 months ago
Approximation algorithm for the kinetic robust K-center problem
Clustering is an important problem and has numerous applications. In this paper we consider an important clustering problem, called the k-center problem. We are given a discrete p...
Sorelle A. Friedler, David M. Mount
BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...