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» On the Comparability of Software Clustering Algorithms
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KDD
2009
ACM
140views Data Mining» more  KDD 2009»
14 years 8 months ago
Improving clustering stability with combinatorial MRFs
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
Ron Bekkerman, Martin Scholz, Krishnamurthy Viswan...
EUROCRYPT
1999
Springer
14 years 5 days ago
Software Performance of Universal Hash Functions
Abstract. This paper compares the parameters sizes and software performance of several recent constructions for universal hash functions: bucket hashing, polynomial hashing, Toepli...
Wim Nevelsteen, Bart Preneel
CLEF
2010
Springer
13 years 9 months ago
Cross-document Coreference for WePS
A good clustering performance depends on the quality of the distance function used to asses similarity. In this paper we propose a pairwise document coreference model to improve pe...
Iustin Dornescu, Constantin Orasan, Tatiana Lesnik...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 10 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 1 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...