所蔵: A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET

A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET

Clustering evaluation techniques are important to check the clustering algorithm quality. High cluster similarity help to reduce the distance between a node to node within the cluster, also good separation was more important to avoid overlapping clusters. The network performance will increase and th...

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主要な著者:	Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L.
その他の著者:	57210449807
フォーマット:	論文
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
主題:	cluster index validation Clustering analysis energy clustering algorithms K-means unsupervised learning VANET clustering Cluster analysis Energy efficiency Graphic methods Heuristic algorithms Quality control Unsupervised learning Vehicular ad hoc networks Cluster index validation Clusterings Energy Energy clustering algorithm Heuristics algorithm Index Partitioning algorithms Vehicular Adhoc Networks (VANETs) Clustering algorithms
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A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET

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