An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters-Reference-Cited by-同舟云学术

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An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters

Published:2018-08 Issue: Volume:69 Page:229-236
ISSN:1571-0653
Container-title:Electronic Notes in Discrete Mathematics
language:en
Short-container-title:Electronic Notes in Discrete Mathematics

Author:

Carballido Jessica A.,Latini Macarena A.,Ponzoni Ignacio,Cecchini Rocío L.

Funder

CONICET

UNS

Publisher

Elsevier BV

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics

Reference18 articles.

1. Data Clustering: Algorithms and Applications;Aggarwal,2013

2. clvalid: An R package for cluster validation;Brock;Journal of Statistical Software, Articles,2008

3. Well-separated clusters and optimal fuzzy partitions;Dunn;Journal of Cybernetics,1974

4. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester,1996

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recommendation of PHM algorithms based on fuzzy information fusion;IFAC-PapersOnLine;2020

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