Abstract
We present a new method for cluster analysis that finds a composite “supercluster” consisting of two non-overlapping parts: a tight core and a less connected shell. We expand this approach to data that changes over time by assuming that the core is unchangeable, while the shell depends on the time period. We define a data recovery approximation model of a dynamic supercluster, and present a suboptimal algorithm for finding superclusters.
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Rodin, I., Mirkin, B. (2017). Supercluster in Statics and Dynamics: An Approximate Structure Imitating a Rough Set. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10313. Springer, Cham. https://doi.org/10.1007/978-3-319-60837-2_46
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DOI: https://doi.org/10.1007/978-3-319-60837-2_46
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