A Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data-Reference-Cited by-同舟云学术

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A Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data

Published:2023 Issue: Volume: Page:267-278
ISSN:2367-3370
Container-title:Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering
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Author:

Sardar Tanvir Habib,Sarkar Rashel,Ahmed Sheik Jamil,Bandyopadhyay Anjan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9483-8_23

Reference9 articles.

1. Sardar TH, Ansari Z (2022a) Distributed big data clustering using MapReduce-based fuzzy C-medoids. J Inst Eng India Ser B 103:73–82. https://doi.org/10.1007/s40031-021-00647-w

2. Sardar TH, Ansari Z (2022b) MapReduce-based fuzzy C-means algorithm for distributed document clustering. J Inst Eng India Ser B 103:131–142. https://doi.org/10.1007/s40031-021-00651-0

3. Sardar TH, Ansari Z (2020) An analysis of distributed document clustering using MapReduce based K-means algorithm. J Inst Eng India Ser B 101:641–650. https://doi.org/10.1007/s40031-020-00485-2

4. Ansari Z, Afzal A, Sardar TH (2019) Data categorization using Hadoop MapReduce-based parallel K-means clustering. J Inst Eng India Ser B 100:95–103. https://doi.org/10.1007/s40031-019-00388-x

5. Sardar TH, Ansari Z (2018a) An analysis of MapReduce efficiency in document clustering using parallel K-means algorithm. Future Comput Inform J 3(2):200–209

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