Clustering is widely used for data analysis that partitions a set of data into multiple clusters, where objects in the same cluster have similar properties. Data for clustering analysis often comes ...

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To address these challenges, we introduce FSS-DBSCAN, a three-server MPC platform designed for outsourced private density-based clustering using function secret sharing (FSS). This solution guarantees ...

DBSCAN clustering on synthetic data to demonstrate clustering with noise, parameter tuning, and evaluation using Silhouette, Calinski-Harabasz, and Davies-Bouldin scores. The project highlights the ...