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pro vyhledávání: '"Lamia Fatma Houbaba Chaouche Ramdane"'
Autor:
Lamia Fatma Houbaba Chaouche Ramdane, Habib Mahi, Mostafa El Habib Daho, Mohammed El Amine Lazouni
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 252-260 (2022)
Abstract The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single cl
Externí odkaz:
https://doaj.org/article/03fea0c820404d788610cce3d763c2c1
Autor:
Mohammed El Amine Lazouni, Lamia Fatma Houbaba Chaouche Ramdane, Mostafa El Habib Daho, Habib Mahi
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 252-260 (2022)
The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single classifiers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3524a81263d49274a48e6ea9a7df1a21
https://doi.org/10.1049/ipr2.12349
https://doi.org/10.1049/ipr2.12349
Publikováno v:
2019 6th International Conference on Image and Signal Processing and their Applications (ISPA).
In remotely sensed data, two commonly held ways are used to obtain a relevant partitioning. The first one consists to apply several clustering algorithms individually, then to choose the best partition. The second commonly held way consists to apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b2fc4965547dc6ad130760c2a3eb76
https://doi.org/10.1109/ispa48434.2019.8966871
https://doi.org/10.1109/ispa48434.2019.8966871