L Nigro, F Cicirelli, P Fränti - Simulation Modelling Practice and Theory, 2023 - Elsevier
… parallel version of the random swap clustering algorithm. It combines the scalability of k-means with the high clustering accuracy of random swap. The algorithm is implemented in Java …
M Safari, M Huisman - … Methods: 16th International Conference, IFM 2020 …, 2020 - Springer
… Again, we apply the properties before each swap and we add the new … are swaps in this algorithm, we reuse the generic pattern and verify the permutation property of this algorithm as …
… to efficient computation and pattern discovery in real-world approximate patternmatching … [14], or edge ‘flip’ (ie, swapping edges while keeping the number of edges constant) fits our …
… efficient fingerprinting method and a conventional multiple stringmatchingalgorithm, we can efficiently … conventional multiple stringmatchingalgorithm, we can efficiently solve multiple …
… efficientalgorithm for k-Mismatch CPM in this setting; it is an adaptation of an analogous procedure provided in [18, Section 7.2] for (non-cyclic) patternmatching … transposition swaps …
… pattern-matchingalgorithm to be efficient, but it will simplify its description and lower the runtime for some subroutines. In Section 3.2, we describe our pattern-matchingalgorithm … swap …
… ZNSwap leverages ZNS’s explicit control over data management on the drive and introduces a space-efficient host-side Garbage Collector (GC) for swap storage co-designed with the …
… Machine learning, Image analysis and patternrecognition are some of the fields where fuzzy clustering is employed. The order of processing given information of given size will be in …
S Faro, S Scafiti - Theoretical Computer Science, 2022 - Elsevier
… effective way also to non-standard stringmatching problems such as swapmatching and multiple stringmatching… extension to swapmatching and multiple patternmatching in Section 5 …