Bagging-based spectral clustering ensemble selection

Author:

Jia Jianhua,Xiao Xuan,Liu Bingxiang,Jiao Licheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Alpert, C.J., Yao, S.Z., 1995. Spectral partitioning: The more eigenvectors, the better. In: Proc. ACM/IEEE Internat. Conf. on Design Automation (DAC’95), pp. 195–200.

2. Azimi, J., Fern, X., 2009. Adaptive cluster ensemble selection. In: The 21st International Joint Conference on Artificial Intelligence (IJCAI’09), Pasadena, California, USA, pp. 992–997.

3. Blind one-microphone speech separation: A spectral learning approach;Bach;Adv. Neural Inf. Process. Systems,2005

4. Ensemble diversity measures and their application to thinning;Banfield;Inf. Fusion,2005

5. Blake, C.L., Merz, C.J., 1998. UCI repository of machine learning databases. Available from: .

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