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TKDE
2008
115views more  TKDE 2008»
14 years 9 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
JDCTA
2010
130views more  JDCTA 2010»
14 years 4 months ago
A Search Algorithm for Clusters in a Network or Graph
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
Dongming Chen, Jing Wang, Xiaodong Chen, Xiaowei X...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 5 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
FOCS
2003
IEEE
15 years 3 months ago
Clustering with Qualitative Information
We consider the problem of clustering a collection of elements based on pairwise judgments of similarity and dissimilarity. Bansal, Blum and Chawla (in: Proceedings of 43rd FOCS, ...
Moses Charikar, Venkatesan Guruswami, Anthony Wirt...
BIOINFORMATICS
2006
85views more  BIOINFORMATICS 2006»
14 years 9 months ago
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on r...
Giorgio Valentini