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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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Bibliographic Details
Main Authors: Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L.
Other Authors: 57210449807
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Subjects:
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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