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The validation of the results obtained by clustering algorithms is a fundamental part of the clustering process. The most used approaches for cluster validation are based on internal cluster validity indices. Although many indices have been proposed, there is no recent extensive comparative study of their performance. In this paper we show the results of an(More)
When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff determines the profile of the tourists and their restrictions. Combining this information with their up-to-date knowledge about the local attractions and public transportation, they suggest a personalized route for the tourist(More)
In the paper a parallelizable system based on Simulated Annealing to solve VRPTW problems is described. The system consists of two optimization phases: a global one, a the local one, both based on Simulated Annealing and paralllizable. For the first phase different parallelization strategies are presented and evaluated. The importance of the cooperation(More)
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Data mining techniques will be very helpful in this context; concretely unsupervised learning methods will be adequate. This work presents a comparison of the behaviour of two(More)