On the parameterized complexity of consensus clustering-Reference-Cited by-同舟云学术

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On the parameterized complexity of consensus clustering

Published:2014-07 Issue: Volume:542 Page:71-82
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Dörnfelder Martin,Guo Jiong,Komusiewicz Christian,Weller Mathias

Funder

DFG

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference39 articles.

1. Local Search in Combinatorial Optimization;Aarts,1997

2. k nearest neighbor using ensemble clustering;AbedAllah,2012

3. Correlation clustering;Bansal;Mach. Learn.,2004

4. Are approximation algorithms for consensus clustering worthwhile?;Bertolacci,2007

5. Average parameterization and partial kernelization for computing medians;Betzler;J. Comput. System Sci.,2011

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3. A compact and scalable representation of network traffic dynamics using shapes and its applications;Transportation Research Part C: Emerging Technologies;2020-12

4. Estimating the number of clusters in a dataset via consensus clustering;Expert Systems with Applications;2019-07

5. On Computing Centroids According to the p-Norms of Hamming Distance Vectors;LEIBNIZ INT PR INFOR;2019

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