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- W1569399661 abstract "In recent years, the data stream clustering problem has gained considerable attention in the literature. Clustering data streams requires a process capable of partitioning observations continuously while taking into account restrictions of memory and time. In this paper we present MBG-Stream, a Micro-Batching version of the growing neural gas approach, aimed to clustering data streams by making one pass over the data. MBG-Stream allows us to discover clusters of arbitrary shapes without any assumptions on the number of clusters. The proposed algorithm is implemented on a “distributed” streaming platform, the Spark Streaming API, and its performance is evaluated on public data sets." @default.
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- W1569399661 date "2015-01-01" @default.
- W1569399661 modified "2023-09-30" @default.
- W1569399661 title "Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming" @default.
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- W1569399661 doi "https://doi.org/10.1016/j.procs.2015.07.290" @default.
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