Survey on Machine Learning-Based Clustering Algorithms for IoT Data Cluster Analysis-Reference-Cited by-同舟云学术

Survey on Machine Learning-Based Clustering Algorithms for IoT Data Cluster Analysis

Published:2020 Issue: Volume: Page:1195-1204
ISSN:2194-5357
Container-title:Intelligent Computing in Engineering
language:
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Author:

Balakrishna Sivadi,Solanki Vijender Kumar,Kumar Raghvendra,Thirumaran M.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2780-7_123

Reference14 articles.

1. Balakrishna S, Thirumaran M, Solanki VK (2019) A framework for IoT sensor data acquisition and analysis. EAI Endorsed Trans Internet Things 18(1):1–13. http://dx.doi.org/10.4108/eai.21-12-2018.159410

2. Balakrishna S, Solanki VK, Gunjan VK, Thirumaran M (2019) Performance analysis of linked stream big data processing mechanisms for unifying IoT smart data. In: International conference on intelligent computing and communication technologies (ICICCT). Springer, pp 680–688

3. Popat SK, Emmanuel M (2014) Review and comparative study of clustering techniques. Int J Comput Sci Inf Technol 5(1):805–812

4. Whitmore A, Agarwal A, Xu L (2014) The Internet of things—a survey of topics and trends. Inf Syst Front 17(2):261–274

5. Vijaya PA, Murty MN, Subramanian DK (2004) Leaders-subleaders: an efficient hierarchical clustering algorithm for large data sets. Pattern Recogn Lett 25(4):505–513

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