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» An overview of clustering methods
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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 2 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 7 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
BMCBI
2010
121views more  BMCBI 2010»
14 years 11 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
SACRYPT
2009
Springer
176views Cryptology» more  SACRYPT 2009»
15 years 8 months ago
Optimization Strategies for Hardware-Based Cofactorization
Abstract. We use the specific structure of the inputs to the cofactorization step in the general number field sieve (GNFS) in order to optimize the runtime for the cofactorizatio...
Daniel Loebenberger, Jens Putzka
WEBI
2007
Springer
15 years 8 months ago
DENGRAPH: A Density-based Community Detection Algorithm
Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
Tanja Falkowski, Anja Barth, Myra Spiliopoulou