Deep learning library
  • DLL
    • Data
    • Deep learning
    • MachineLearning
    • Custom exceptions
  • Examples
    • Examples
    • Probability Calibration
    • Deep learning
    • Gaussian Processes
    • Linear Models
    • Metrics
    • Naive Bayes
    • Neighbours
    • Optimizers
    • Reinforcement learning
    • Support vector machines
    • Trees and boosting machines
    • Unsupervised learning
Deep learning library
  • DLL
  • MachineLearning
  • UnsupervisedLearning
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UnsupervisedLearning

  • Clustering
    • KMeans
    • Gaussian mixture models
    • Spectral clustering
    • Density based clustering
  • Dimensionality reduction
    • Principal Component Analysis
    • Robust Principal Component Analysis
    • t-Distributed Stochastic Neighbor Embedding
    • Uniform Manifold Approximation and Projection
  • Discriminant Analysis
    • Linear Discriminant Analysis
    • Quadratic Discriminant Analysis
  • Outlier detection
    • IsolationForest
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