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TODO list

Preprocessing

  • Load data
  • Find missing values
  • Find outliers
  • Compute distribution of data (max, min, mean, var)
  • Normalize data
  • Distribution of data for each attribute
  • Correlation between attributes

Feature extraction

  • PCA
  • Autoencoder
  • LDA
  • ICA
  • NMF

Feature discrimination

  • Choose feature of interest

Clustering

  • KNN
  • k-Means
  • GMM

Visualization

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