EDA

EDA is a package for the Datagrok platform. It provides the following exploratory data analysis and machine learning tools:

• Dimensionality reduction
  • Principal component analysis (PCA)
  • Uniform manifold approximation and projection (UMAP)
  • t-distributed stochastic neighbor embedding (t-SNE)
  • Stochastic proximity embedding (SPE)
• Multivariate analysis
  • Partial least squares regression (PLS)
• Supervised machine learning
  • Least-squares support vector machine (LS-SVM)
  • Linear regression
  • Softmax classifier
  • PLS regression
  • Gradient Boosting
• Analysis of variances (ANOVA)
  • One-way ANOVA (link)
• Missing data imputation
  • k-nearest neighbors method (KNN)