A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-4191-3_2
Reference206 articles.
1. Abuobieda, Albaraa, Naomie Salim, Yogan Jaya Kumar, and Ahmed Hamza Osman. 2013. An improved evolutionary algorithm for extractive text summarization. In Asian conference on intelligent information and database systems, 78–89. Springer.
2. Al-Madi, Nailah, Ibrahim Aljarah, and Simone A. Ludwig. 2014. Parallel glowworm swarm optimization clustering algorithm based on mapreduce. In 2014 IEEE symposium on swarm intelligence (SIS), 1–8. IEEE.
3. Al Shorman, Amaal, Hossam Faris, and Ibrahim Aljarah. 2020. Unsupervised intelligent system based on one class support vector machine and grey wolf optimization for iot botnet detection. Journal of Ambient Intelligence and Humanized Computing 11 (7): 2809–2825.
4. Aldouri, Yamur K., Hassan Al-Chalabi, and Liangwei Zhang. 2018. Data clustering and imputing using a two-level multi-objective genetic algorithm (GA): A case study of maintenance cost data for tunnel fans. Cogent Engineering 5 (1): 1513304.
5. Aliniya, Zahra, and Seyed Abolghasem Mirroshandel. 2019. A novel combinatorial merge-split approach for automatic clustering using imperialist competitive algorithm. Expert Systems with Applications 117: 243–266.
Cited by 6 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. Evolutionary Clustering and Community Detection;Handbook of Evolutionary Machine Learning;2023-11-02
2. Anomalous Human Trajectory Detection Using Clustering Methods;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11
3. Spatiochemical Characterization of the Pancreas Using Mass Spectrometry Imaging and Topological Data Analysis;Analytical Chemistry;2023-07-04
4. A Comprehensive Review of the Firefly Algorithms for Data Clustering;Studies in Computational Intelligence;2022-10-02
5. Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge;IEEE Access;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3