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Published in 2018 at "Quantum Information Processing"
DOI: 10.1007/s11128-017-1809-2
Abstract: Clustering is a powerful machine learning technique that groups “similar” data points based on their characteristics. Many clustering algorithms work by approximating the minimization of an objective function, namely the sum of within-the-cluster distances between…
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Keywords:
quantum;
search;
annealing combinatorial;
data points ... See more keywords
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Published in 2017 at "Journal of Communications Technology and Electronics"
DOI: 10.1134/s1064226917060122
Abstract: The paper addresses dynamic combinatorial clustering. First, a systematic literature survey on dynamic/online clustering is presented (problems, methods, applications). Second, restructuring approach to clustering is described (one-stage clustering, multi-stage clustering, sorting). Third, two network application…
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Keywords:
dynamic combinatorial;
stage;
combinatorial clustering;