Synthetic Multi-View Cardiovascular Dataset for Federated Clustering

This dataset is a synthetic multi-view cardiovascular dataset designed for evaluating federated clustering algorithms. It consists of four distinct views, each representing different geometric shapes (circular, elongated horizontal ellipse, crescent, and S-curve\/spiral) to simulate diverse cardiovascular data distributions. The dataset is generated using parametric equations and includes variations in cluster sizes and densities to mimic real-world scenarios. It is intended for researchers working on multi-view clustering, federated learning, and related fields.