A comparison of dimensionality reduction methods for large biological data

Author:

Babjac Ashley1,Royalty Taylor1,Steen Andrew D1,Emrich Scott J1

Affiliation:

1. University of Tennessee

Funder

National Science Foundation

Department of Energy

Publisher

ACM

Reference30 articles.

1. Principal component analysis

2. Pierre Baldi . 2012 . Autoencoders, unsupervised learning, and deep architectures . In Proceedings of ICML Workshop on Unsupervised and Transfer Learning. 37--49 . Pierre Baldi. 2012. Autoencoders, unsupervised learning, and deep architectures. In Proceedings of ICML Workshop on Unsupervised and Transfer Learning. 37--49.

3. Algorithms for manifold learning. Univ. of California at San Diego Tech;Cayton Lawrence;Rep,2005

4. SMOTE: Synthetic Minority Over-sampling Technique

5. François Chollet et al. 2015. Keras. https://github.com/fchollet/keras. François Chollet et al. 2015. Keras. https://github.com/fchollet/keras.

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