Efficient distributed clustering using boundary information
Neurocomputing, pp. 2355-2366, 2018.
EI WOS SCOPUS
In the era of big data, it is increasingly common that large amount of data is generated across multiple distributed sites and cannot be gathered into a centralized site for further analysis, which invalidates the assumption of traditional clustering techniques based on centralized models. The major challenge is that these distributed dat...More
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