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stat.ML2026
A Novel Theoretical Analysis for Clustering Heteroscedastic Gaussian Data without Knowledge of the Number of Clusters
Dominique Pastor, Elsa Dupraz, Ismail Hbilou +1
This paper addresses the problem of clustering measurement vectors that are heteroscedastic in that they can have different covariance matrices. From the assumption that the measur…
stat.ML2018
Decentralized Clustering on Compressed Data without Prior Knowledge of the Number of Clusters
Elsa Dupraz, Dominique Pastor, François-Xavier Socheleau
In sensor networks, it is not always practical to set up a fusion center. Therefore, there is need for fully decentralized clustering algorithms. Decentralized clustering algorithm…