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Copula-Based Fuzzy Clustering of Count Data with Total Variation Distance
This paper presents a novel fuzzy clustering technique designed specifically for count data, referred to as the Fuzzy C-medoids algorithm based on Total Variation Distance. We evaluate its performance against a benchmark relying on Shannon divergence, commonly employed in scenarios involving discrete probability distributions, through simulation ...Pierpaolo D'Urso +3 more
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Exact Evaluation of Total Variation Distance in Covert Communications
2021 International Conference on Networking and Network Applications (NaNA), 2021Ahmed Salem, Huihui Wu, Xiaohong Jiang
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