...了一种基于无线传感器网络的分布式K-平均聚类算法(Distributed Kmean Clustering method for Wireless Sensor Networks, DKCWSN)和一种基于自适应加权的网内数据融合方法.
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平均算法是经典的聚类算法。
并且在权衡算法效率和聚类精度的基础之上提出了改进的聚类距离公式和K -平均算法，达到了较好效果。
On the basis of balancing algorithm efficiency and accuracy of clustering, improved formula of clustering distance and K average algorithm approach were presented. Satisfactory results were achieved.
论文给出了具体算法描述，理论推导论证了聚类平均算法的可行性。
Paper gives a concrete algorithm description and the theoretical analysis to demonstrate the average clustering algorithm.
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