“…K-means clustering: When it comes to partition-based algorithms for clustering data, "K-means clustering algorithmic [36]" is one of the most widely used models. By prioritizing the CHs with the highest energy, the K-means algorithm ensures that the clusters are well-balanced and have a low overall energy footprint [37][38][39].…”
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
“…K-means clustering: When it comes to partition-based algorithms for clustering data, "K-means clustering algorithmic [36]" is one of the most widely used models. By prioritizing the CHs with the highest energy, the K-means algorithm ensures that the clusters are well-balanced and have a low overall energy footprint [37][38][39].…”
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
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