Feature Engineering

What features could be used to improve our model?

• Investigate other features

  • Hemisphere feature

  • Filter banks

  • Histogram of oriented gradients (HOGs)

• 2-D / 3-D differences

Materials

• scikit-image feature module

Feature Selection

Can we reduce the number of features to decrease the model complexity and the computational burden.

• Decision forest feature importance

• Principal component analysis (PCA)

• Mutual information based feature selection

Materials

• scikit-learn: Dimensionality reduction

• Parallelized Mutual Information based Feature Selection

• H. Peng, F. Long, and C. Ding, Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-38, 2005.