Implementation of Space Optimized Bisecting K-Means (BKM) Based on Hadoop

Yin, Yanshen; Wei, Chengguang; Zhang, Guigang; Li, Chao

doi:10.1109/wisa.2012.47

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E Hyperparameter Tuning Approaches1

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2022

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“…To extend k-means-based Algorithms for evolving data streams with a variable number of 'k', de Andrade Silva and Hruschka [36] describe an algorithmic framework that enables the automatic estimation of 'k' based on the data. The authors applied three state-of-the-art algorithms for clustering data streams -Stream LSearch [37], CluStream [38], and Stream KM++ [39] combined with two well-known algorithms for estimating the number of centroids 'k', namely: Ordered Multiple Runs of k-means [40] and Bisecting k-means [41].…”

Section: E Hyperparameter Tuning Approachesmentioning

confidence: 99%