Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification

Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification

Abstract In the age of big data, privacy, particularly medical data privacy, is becoming increasingly important. Differential privacy (DP) has emerged as a key method for safeguarding privacy during data analysis and publishing. Cancer identification and classification play a vital role in early det...

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Bibliographic Details
Main Authors: Hang Yanping, Zheng Haixia, Yang Minmin, Wang Nan, Kong Miaomiao, Zhao Mingming
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Big data
Gaussian kernel function
Differential privacy
DPFCM_GK
Privacy-preserving
Privacy budget
Online Access:https://doi.org/10.1038/s41598-025-01873-8
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https://doi.org/10.1038/s41598-025-01873-8

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