3 papers
cs.LG2026
Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques
Kristina P. Sinaga
This paper introduces mathematical frameworks that address the challenges of multi-view clustering in federated learning environments. The objective is to integrate optimization te…
cs.LG2025
FedHK-MVFC: Federated Heat Kernel Multi-View Clustering
Kristina P. Sinaga
In the realm of distributed artificial intelligence (AI) and privacy-focused medical applications, this paper proposes a multi-view clustering framework that links quantum field th…
cs.CV2025
Bi-Level Multi-View fuzzy Clustering with Exponential Distance
Kristina P. Sinaga
In this study, we propose extension of fuzzy c-means (FCM) clustering in multi-view environments. First, we introduce an exponential multi-view FCM (E-MVFCM). E-MVFCM is a centrali…