An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
The Jaccard index was used to determine the new method’s accuracy performance. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans.