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The proposed algorithm employs the cluster prototypes of the source data as references to guide the clustering process of the target data. The experimental ...
In this study, the concept of knowledge transfer has been used to develop an evidential transfer clustering method named TECM for the application of clustering ...
Oct 13, 2021 · In this paper, we combine the idea of evidential clustering and transfer learning to develop a new clustering method, named transfer evidential c-means (TECM),
Oct 27, 2021 · In this paper, we combine the idea of evidential clustering and transfer learning to develop a new clustering method, named transfer evi-.
Jul 2, 2024 · Evidential clustering is a promising clustering framework using Dempster-Shafer belief function theory to model uncertain data.
Oct 15, 2021 · The proposed algorithm employs the cluster prototypes of the source data as references to guide the clustering process of the target data. The ...
A novel objective function is designed to employ the cluster prototypes of the source data as references to guide the clustering process on the target.
Dec 19, 2021 · The TECM objective function is constructed by integrating the knowledge learned from the source domain with the data in the target domain to ...
Abstract—Evidential clustering is a promising clustering framework using Dempster-Shafer belief function theory to mod- el uncertain data.
Oct 15, 2021 · The proposed algorithm employs the cluster prototypes of the source data as references to guide the clustering process of the target data. The ...