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Libero Nigro and Pasi Fränti
This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss...
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Libero Nigro and Franco Cicirelli
K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ...
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Carlos Miguel Legón-Pérez, Jorge Ariel Menéndez-Verdecía, Ismel Martínez-Díaz, Guillermo Sosa-Gómez, Omar Rojas and Germania del Roció Veloz-Remache
During the search for S-boxes resistant to Power Attacks, the S-box space has recently been divided into Hamming Weight classes, according to its theoretical resistance to these attacks using the metric variance of the confusion coefficient. This partiti...
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Olive Niyomubyeyi, Petter Pilesjö and Ali Mansourian
Evacuation is an important activity for reducing the number of casualties and amount of damage in disaster management. Evacuation planning is tackled as a spatial optimization problem. The decision-making process for evacuation involves high uncertainty,...
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