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What is CPF Algorithm for Density Peaks Clustering about?

This document presents a theoretical analysis of density peaks clustering and introduces a new algorithm, Component-wise Peak-Finding (CPF), which improves clustering accuracy by addressing issues related to noise in density estimates. CPF enhances the assignment methodology and automatically determines the number of clusters, demonstrating strong theoretical guarantees and superior performance in experiments. Additionally, a semi-supervised version of CPF is introduced for multi-image matching applications

Author

chi shang

Language

EN