Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qimin Luo"'
Publikováno v:
Neural Processing Letters. 52:1913-1925
Traditional clustering algorithms have some limitations, which are sensitive to noise and mostly applicable to convex data sets. To solve these problems, the paper proposes a novel algorithm combining spectral clustering with feature selection. Speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15cc2c2a6d287d1c54f74289fe8b54e8
https://doi.org/10.1007/s11063-020-10297-6
https://doi.org/10.1007/s11063-020-10297-6
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030954079
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e0296df57b3f1452653f1ea85a492e
https://doi.org/10.1007/978-3-030-95408-6_27
https://doi.org/10.1007/978-3-030-95408-6_27
Publikováno v:
Information Processing & Management. 59:102902
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b13f41f94af7513186dbe15e79120c1c
https://doi.org/10.1016/j.ipm.2022.102902
https://doi.org/10.1016/j.ipm.2022.102902
Publikováno v:
Information Processing & Management. 58:102388
The class distribution of imbalanced data sets is skewed in practical application. As traditional clustering methods mainly are designed for improving the overall learning performance, the majority class usually tends to be clustered and the minority
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63672515c1bdfa680e937e7700555062
https://doi.org/10.1016/j.ipm.2020.102388
https://doi.org/10.1016/j.ipm.2020.102388