Package smile.clustering.linkage

Class WPGMCLinkage

java.lang.Object
smile.clustering.linkage.Linkage
smile.clustering.linkage.WPGMCLinkage
public class WPGMCLinkage extends Linkage
Weighted Pair Group Method using Centroids (also known as median linkage). The distance between two clusters is the Euclidean distance between their weighted centroids. Only valid for Euclidean distance based proximity matrix.

  • Constructor Details

    • WPGMCLinkage

      public WPGMCLinkage(double[][] proximity)
      Constructor.
      Parameters:
      proximity - the proximity matrix. Only the lower half will be referred.

    • WPGMCLinkage

      public WPGMCLinkage(int size, float[] proximity)
      Constructor. Initialize the linkage with the lower triangular proximity matrix.
      Parameters:
      size - the data size.
      proximity - the column-wise linearized proximity matrix that stores only the lower half. The length of proximity should be size * (size+1) / 2. To save space, Linkage will use this argument directly without copy. The elements may be modified.

  • Method Details

    • of

      public static WPGMCLinkage of(double[][] data)
      Computes the proximity and the linkage.
      Parameters:
      data - the data points.
      Returns:
      the linkage.

    • of

      public static <T> WPGMCLinkage of(T[] data, Distance<T> distance)
      Computes the proximity and the linkage.
      Type Parameters:
      T - the data type of points.
      Parameters:
      data - the data points.
      distance - the distance function.
      Returns:
      the linkage.

    • toString

      public String toString()
      Overrides:
      toString in class Object

    • merge

      public void merge(int i, int j)
      Description copied from class: Linkage
      Merges two clusters into one and update the proximity matrix.
      Specified by:
      merge in class Linkage
      Parameters:
      i - cluster id.
      j - cluster id.