Research on Hybrid Data Clustering Algorithm for Wireless Communication Intelligent Bracelets
نویسندگان
چکیده
Abstract Wireless communication smart bracelet data include motion data, sleep time heart rate and blood pressure positioning etc. These have diversity high complexity, there are interconnections or interactions between the which clustering difficulty. To this end, a new algorithm is studied for wireless bracelets. The K-medoids used to calculate intra-cluster, inter-cluster, overall similarity complete initial of data. Setting evaluation index can determine optimal number clusters. objects that closely surrounded relatively dispersed selected as centers combined with IXB improvement algorithm. test results show accuracy, recall, F1 research monitoring dataset, temperature energy consumption dataset higher than 97%, indicates effect good.
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ژورنال
عنوان ژورنال: Mobile Networks and Applications
سال: 2023
ISSN: ['1383-469X', '1572-8153']
DOI: https://doi.org/10.1007/s11036-023-02249-w