K-sets and k-swaps algorithms for clustering sets

PATTERN RECOGNITION（2023）

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摘要

•Novel K-sets algorithm that generalizes k-means to work for sets data.•Novel K-swaps algorithm to avoid local minima.•Benchmark for evaluating clustering of sets data.•Case study with clustering patients based on their ICD-10 diagnoses.

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关键词

Clustering sets,Similarity of sets,K-means,K-medoids,Random swap,K-swaps,Customer segmentation,Clustering healthcare records

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