Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm
Author:
Affiliation:
1. Department of Computer Science and Engineering, PSG Institute of Technology and Applied Research, Coimbatore, Neelambur, Tamil Nadu, India
Funder
no funding
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2024.2334923
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1. Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering
2. Evaluating the Performance of various Algorithms for Wind Energy Optimization: A Hybrid Decision-Making model
3. A novel combinatorial merge-split approach for automatic clustering using imperialist competitive algorithm
4. Arasi, T. R. T., S. Shubham, and A. Ianakiev. 2024. Effect of blade shape on aerodynamic and aero acoustic characteristics of vertical axis wind turbines using mid-fidelity and high-fidelity methods. Blade Aerodynamics, and Aero Acoustics.
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