A New Belief-Based Incomplete Pattern Unsupervised Classification Method

Autor: Zhe Liu, Zuo-Wei Zhang, Ma Zongfang, Hao Wang, Yiru Zhang

Publikováno v: IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TKDE.2021.3049511⟩
IEEE Transactions on Knowledge and Data Engineering, In press, ⟨10.1109/TKDE.2021.3049511⟩

The clustering of incomplete patterns is a very challenging task because the estimations may negatively affect the distribution of real centers and thus cause uncertainty and imprecision in the results. To address this problem, a new belief-based inc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13c704d5e464e6ec0c348436804f65d
https://doi.org/10.1109/tkde.2021.3049511

Evidence integration credal classification algorithm versus missing data distributions

Autor: Zuo-wei Zhang, Ji-huan He, Zong-fa Ma, Xing-yu Zhu, Zhe Liu

Publikováno v: Information Sciences
Information Sciences, Elsevier, 2021, 569, pp.39-54. ⟨10.1016/j.ins.2021.04.008⟩
Information Sciences, 2021, 569, pp.39-54. ⟨10.1016/j.ins.2021.04.008⟩

International audience; In complex incomplete pattern classification, the classification results produced by a single classifier and used for decision-making may be quite unreliable and uncertain due to the random distribution of missing data. This p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a3cbb0b9748e687bccae123b59b0118
https://hal.archives-ouvertes.fr/hal-03271719

Classification of incomplete patterns based on fusion of belief functions

Autor: LIU, Zhun-Ga, Pan, Quan, Dezert, Jean, Martin, Arnaud, Mercier, Grégoire

Publikováno v: The 18th International Conference on Information Fusion
The 18th International Conference on Information Fusion, Jul 2015, Washington, United States

International audience; The missing values in the incomplete pattern can either play a crucial role in the class determination, or have only little influence (or eventually none) on the classification results depending on the different cases. A fast

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ed568b560ddaab99f5ac5b8de3f848b
https://hal.archives-ouvertes.fr/hal-01270251/document

A new incomplete pattern classification method based on evidential reasoning

Autor: Gregoire Mercier, Jean Dezert, Zhun-ga Liu, Quan Pan

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Institute of Electrical and Electronics Engineers, 2015, 45, pp.635-646. ⟨10.1109/TCYB.2014.2332037⟩

International audience; The classification of incomplete patterns is a very challenging task because the object (incomplete pattern) with different possible estimations of missing data may yield distinct classification results. The uncertainty (ambig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ccb63e1c06912c175161251b94c0a73
https://hal.archives-ouvertes.fr/hal-01162207

Credal classification of uncertain data based on belief function theory

Autor: Liu, Zhun-Ga

Publikováno v: Signal and Image processing. Télécom Bretagne; Université de Bretagne Occidentale, 2014. English

Modeling and managing uncertainty in the classification problem remains an important and interesting research topic. Credal classification of uncertain data based on belief function theory has been studied in this thesis, and it allows the object to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fdfb68dd97315a88822866ff54bdbb94
https://hal.archives-ouvertes.fr/tel-01212836