An Extensive Empirical Comparison of k-means Initialization Algorithms

S Harris, RC De Amorim - IEEE Access, 2022 - ieeexplore.ieee.org
The k-means clustering algorithm, whilst widely popular, is not without its drawbacks. In this
paper, we focus on the sensitivity of k-means to its initial set of centroids. Since the cluster …
被引用次数：5 相关文章

An extensive empirical comparison of k-means initialisation algorithms

S Harris, R Cordeiro De Amorim - IEEE Access, 2022 - repository.essex.ac.uk
The k-means clustering algorithm, whilst widely popular, is not without its drawbacks. In this
paper, we focus on the sensitivity of k-means to its initial set of centroids. Since the cluster …
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[PDF][PDF] An Extensive Empirical Comparison of k-means Initialization Algorithms

S HARRIS, RC DE AMORIM - researchgate.net
The k-means clustering algorithm, whilst widely popular, is not without its drawbacks. In this
paper, we focus on the sensitivity of k-means to its initial set of centroids. Since the cluster …

[引用][C] An Extensive Empirical Comparison of k-means Initialization Algorithms

S Harris, RC De Amorim - IEEE Access, 2022 - ui.adsabs.harvard.edu
An Extensive Empirical Comparison of k-means Initialization Algorithms - NASA/ADS Now
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