Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets-Reference-Cited by-同舟云学术

Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets

Published:2021-06 Issue: Volume:36 Page:107044
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Hassan Bryar A.,Rashid Tarik A.,Mirjalili Seyedali

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference15 articles.

1. K-means properties on six clustering benchmark datasets;Fränti;Appl. Intell.,2018

2. B.A. Hassan, T.A. Rashid, A multidisciplinary ensemble algorithm for clustering heterogeneous datasets, Neural Comput. Appl. (2021). doi:10.1007/s00521-020-05649-1.

3. Custering results of evolutionary clustering algorithm star for clustering heterogeneous datasets;Hassan;Mendeley Data,2021

4. B.A. Hassan, T.A. Rashid, Operational framework for recent advances in backtracking search optimisation algorithm: a systematic review and performance evaluation, Appl. Math. Comput. (2019) 124919.

5. Datasets on statistical analysis and performance evaluation of backtracking search optimisation algorithm compared with its counterpart algorithms;Hassan;Data Br.,2020

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