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» Bayesian hierarchical clustering

156

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KDD
2005
ACM

135views Data Mining» more KDD 2005»

A hybrid unsupervised approach for document clustering

16 years 6 months ago

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We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...

Mihai Surdeanu, Jordi Turmo, Alicia Ageno

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147

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HPCC
2005
Springer

143views Distributed And Parallel Com...» more HPCC 2005»

A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering

15 years 11 months ago

Download torch.cs.dal.ca

Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an eﬃcient coarse grained parallel algorithm for Single...

Albert Chan, Chunmei Gao, Andrew Rau-Chaplin

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180

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SDM
2007
SIAM

117views Data Mining» more SDM 2007»

Discriminating Subsequence Discovery for Sequence Clustering

15 years 7 months ago

Download glaros.dtc.umn.edu

In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...

Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...

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135

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BIOINFORMATICS
2008

115views more BIOINFORMATICS 2008»

Model-based Bayesian clustering (MBBC)

15 years 6 months ago