A Novel History-driven Artificial Bee Colony Algorithm for Data Clustering-Reference-Cited by-同舟云学术

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A Novel History-driven Artificial Bee Colony Algorithm for Data Clustering

Published:2018-10 Issue: Volume:71 Page:226-241
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zabihi Farzaneh,Nasiri Babak^ORCID

Publisher

Elsevier BV

Subject

Software

Reference92 articles.

1. A multiobjective spatial fuzzy clustering algorithm for image segmentation;Zhao;Appl. Soft Comput.,2015

2. A novel approach of cluster based optimal ranking of clicked URLs using genetic algorithm for effective personalized web search;Chawla;Appl. Soft Comput.,2016

3. An approach to clustering of text documents using graph mining techniques;Rao;Int. J. Rough Sets Data Anal. (IJRSDA),2017

4. Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure;Zhang;Pattern Recognit.,2010

5. Data clustering: 50 years beyond K-means;Jain;Pattern Recognit. Lett.,2010

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