Spectral clustering algorithm combining local covariance matrix with normalization-Reference-Cited by-同舟云学术

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Spectral clustering algorithm combining local covariance matrix with normalization

Published:2018-11-09 Issue:11 Volume:32 Page:6611-6618
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Du Tingting,Wen Guoqiu,Cai Zhiguo,Zheng Wei,Tan Malong,Li Yangding

Funder

China Key Research Program

the Key Program of the National Natural Science Foundation of China

the Natural Science Foundation of China

the Project of Guangxi Science and Technology

the Guangxi Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3852-z.pdf

Reference52 articles.

1. Zhang Y, Zhao O, Jing J, Wang X, Cichocki A (2012) A novel bci based on erp components sensitive to configural processing of human faces. J Neural Eng 9(2):026018

2. Yang Y, Duan Y, Wang X, Ning X, Zi H, Shen H (2018) Hierarchical multi-clue modelling for poi popularity prediction with heterogeneous tourist information. IEEE Trans Knowledge Data Engine. https://doi.org/10.1109/TKDE.2018.2842190

3. Gao L, Guo Z, Zhang H, Xu X, Shen H (2017) Video captioning with attention-based LSTM and semantic consistency. IEEE Trans. Multimed 19(9):2045–2055

4. Zheng W, Zhu X, Wen G, Zhu Y, Yu H, Gan i (2018) Unsupervised feature selection by self-paced learning regularization. Pattern Recognit Lett. https://doi.org/10.1016/j.patrec.2018.06.029

5. Zhu X, Suk HI, Huang H, Shen D (2017) Low-rank graph-regularized structured sparse regression for identifying genetic biomarkers. IEEE Trans Big Data. https://doi.org/10.1109/TBDATA.2017.2735991

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