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» A practical comparison of two K-Means clustering algorithms
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ICPR
2008
IEEE
15 years 3 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
CASC
2011
Springer
262views Mathematics» more  CASC 2011»
13 years 9 months ago
Practical Divide-and-Conquer Algorithms for Polynomial Arithmetic
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmetic. First we revisit an algorithm originally described by Brent and Kung for comp...
William Hart, Andrew Novocin
79
Voted
SIGIR
2008
ACM
14 years 9 months ago
Pagerank based clustering of hypertext document collections
Clustering hypertext document collection is an important task in Information Retrieval. Most clustering methods are based on document content and do not take into account the hype...
Konstantin Avrachenkov, Vladimir Dobrynin, Danil N...
78
Voted
ADBIS
2006
Springer
103views Database» more  ADBIS 2006»
15 years 3 months ago
RA: An XML Schema Reduction Algorithm
XML file comparison and clustering are two challenging tasks still accomplished predominantly manually. XML schema contains information about data structure, types, and labels fou...
Angela Cristina Duta, Ken Barker, Reda Alhajj
75
Voted
CORR
2010
Springer
131views Education» more  CORR 2010»
14 years 9 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin