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» On the Comparability of Software Clustering Algorithms
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KDD
2009
ACM
140views Data Mining» more  KDD 2009»
16 years 3 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
15 years 7 months 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
15 years 4 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»
13 years 5 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»
15 years 8 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...