Real-Time K-Prototypes for Incremental Attribute Learning Using Feature Selection

Author:

Gorrab Siwar,Rejab Fahmi Ben,Nouira Kaouther

Publisher

Springer International Publishing

Reference27 articles.

1. S. Gorrab, F.B. Rejab, Incremental-decremental attribute learning algorithm based on K-prototypes for mixed data stream clustering. Int. J. Comput. Inform. Syst. Ind. Manag. Appl. 13, 149–159 (2021)

2. T. Wang, W. Zhou, X. Zhu, F. Liu, S.U. Guan, Integrated feature preprocessing for classification based on neural incremental attribute learning, in 2016 19th International Conference on Information Fusion (FUSION) (IEEE, Piscataway, 2016), pp. 386–393

3. T. Wang, S.U. Guan, F. Liu, Ordered incremental attribute learning based on mRMR and neural networks. Int. J. Design Anal. Tools Integr. Circuits Syst. 2(2), 86–90 (2011)

4. T. Wang, S.U. Guan, K.L. Man, T.O. Ting, EEG eye state identification using incremental attribute learning with time-series classification. Math. Probl. Eng. 2014, 365101 (2014)

5. S. Gorrab, F.B. Rejab, IK-prototypes: incremental mixed attribute learning based on k-prototypes algorithm, a new method, in International Conference on Intelligent Systems Design and Applications (Springer, Cham, 2020), pp. 880–890

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