Documentation of 'smile.projection.Projection' Java class
Projection
smile.projection

Interface Projection<T>

  • All Known Implementing Classes:
    FLD, GHA, KPCA, PCA, PPCA, RandomProjection


    public interface Projection<T>
    A projection is a kind of feature extraction technique that transforms data from the input space to a feature space, linearly or nonlinearly. Often, projections are used to reduce dimensionality, for example PCA and random projection. However, kernel-based methods, e.g. Kernel PCA, can actually map the data into a much higher dimensional space.
    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method and Description
      double[] project(T x)
      Project a data point to the feature space.
      double[][] project(T[] x)
      Project a set of data toe the feature space.
    • Method Detail

      • project

        double[] project(T x)
        Project a data point to the feature space.
      • project

        double[][] project(T[] x)
        Project a set of data toe the feature space.

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