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An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
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Thông tin tài liệu:
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.
Nội dung trích xuất từ tài liệu:
An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
Nội dung trích xuất từ tài liệu:
An improved K-power means technique using minkowski distance metric and dimension weights for clustering wireless multipaths in indoor channel scenario
Tìm kiếm theo từ khóa liên quan:
Information and communication technology Improved K-power means technique Minkowski distance metric Dimension weights for clustering wireless multipaths Indoor channel scenarioTài liệu liên quan:
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