Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network

Keyphrases

• Clustering Methods 100%
• Vehicular Ad Hoc Networks 100%
• Hybrid Clustering 100%
• Covering Rough Set 100%
• K-means Algorithm 66%
• K-means++ 66%
• K-means Clustering Algorithm 66%
• Process Evaluation 33%
• High Density 33%
• Set-based 33%
• Highly Reliable 33%
• Root Mean Square Error 33%
• Low Density 33%
• Network Performance 33%
• Evaluation Index 33%
• Calculating Algorithm 33%
• Kappa Coefficient 33%
• Clustering Model 33%
• Error Reduction 33%
• Multigroup 33%
• Effective Algorithm 33%
• Suitable number of Clusters 33%
• Silhouette Coefficient 33%
• Simulation of Urban Mobility 33%
• Highway Scenario 33%
• High Similarity 33%
• Mean Model 33%
• Cluster Similarity 33%
• Vehicle Cluster 33%
• Dunn Index 33%
• Network Clustering 33%
• Multi-cluster 33%
• Optimal number of Clusters 33%

Computer Science

• Clustering Technique 100%
• vehicular ad-hoc network 100%
• Rough Set 100%
• k-means Clustering 66%
• Mean Algorithm 66%
• Combining Method 33%
• Network Performance 33%
• Evaluation Index 33%
• Vehicular Ad Hoc Network 33%
• Silhouette Coefficient 33%