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IEEE/ICACT20250172 Question.2 Questioner: ammarnabil23050@gmail.com 2025-02-17 오전 10:28:43	IEEE/ICACT20250172 Answer.2 Answer by Auhor lsqbit@163.com 2025-02-17 오전 10:28:43
How does your anti-jamming weighted clustering algorithm help reduce the impact of interference between clusters, and what challenges does it address in this process?	In the initial cluster formation stage of the proposed ianti-jamming weighted clustering algorithm, unreasonable node clustering may result in suboptimal clustering results and increased interference between clusters. To address this, the K-means++ algorithm is employed for the initial cluster formation. This algorithm considers the distances between nodes when selecting initial cluster centers, ensuring that the centroids are more widely dispersed. As a result, the clusters are more evenly distributed, which helps reduce interference between them.

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