• Corpus ID: 247158592

Strong Consistency for a Class of Adaptive Clustering Procedures

@inproceedings{Jaffe2022StrongCF,
  title={Strong Consistency for a Class of Adaptive Clustering Procedures},
  author={Adam Quinn Jaffe},
  year={2022}
}
. We introduce a class of clustering procedures which includes k means and k -medians, as well as variants of these where the domain of the cluster centers can be chosen adaptively (for example, k -medoids) and where the number of cluster centers can be chosen adaptively (for example, accord- ing to the elbow method). In the non-parametric setting and assuming only the finiteness of certain moments, we show that all clustering procedures in this class are strongly consistent under IID samples… 
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