class HClust::DistanceMatrix

• HClust::DistanceMatrix
• Reference
• Object

Overview

Stores the pairwise distances between the elements of a set.

A distance matrix is a square, hollow, symmetric, two-dimensional matrix of distances. The latter are assumed to be a metric, which is defined by the properties of non-negativity, identity of indiscernibles, and triangle inequality [1]. However, these properties are not checked.

To avoid redundancy, the matrix is stored in the condensed form, i.e., a one-dimensional array of size (n * (n - 1)) // 2 that holds the upper triangular portion of the matrix. Then, the position of the distance between the elements i and j in the array is computed as ((2 * n - 3 - i) * i >> 1) + j - 1 with i < j. Refer to the Notes section in the SciPy documentation of the squareform function [2]. Using the condensed form is useful for implementing optimized clustering functions, among others.

Example

# 5x5 distance matrix
mat = HClust::DistanceMatrix.new(5) do |i, j|
  # compute distance between elements i and j
  10 * (i + 1) + j + 1
end
mat[0, 0] # => 0.0 (the distance between the same elements is zero)
mat[1, 1] # => 0.0
mat[0, 1] # => 12.0
mat[1, 0] # => 12.0 (symmetry)
mat[2, 3] # => 34.0

Defined in:

Constructors

• .new(size : Int32)

  Creates a new DistanceMatrix of the given size filled with zeros.

• .new(values : Array(Float64))

  Creates a new DistanceMatrix from the given condensed distance matrix (one-dimensional array).

• .new(size : Int32, & : Int32, Int32 -> Number)

  Creates a new DistanceMatrix of the given size and invokes the given block once for each pair of elements (indexes), using the block's return value as the distance between the given elements.

Instance Method Summary

• #==(rhs : self) : Bool

  Returns true if the distances of the matrices are equal, else false.

• #==(rhs) : Bool

  Returns true if the distances of the matrices are equal, else false.

• #[](i : Int, j : Int) : Float64

  Returns the distance between the elements at i and j.

• #[]=(i : Int, j : Int, value : Float64) : Float64

  Sets the distance between the elements at i and j to value.

• #[]?(i : Int, j : Int) : Float64 | Nil

  Returns the distance between the elements at i and j, or nil if any of the indexes is out of bounds.

• #clone : self

  Returns a new DistanceMatrix with the same elements as the matrix (deep copy).

• #map(& : Float64 -> Float64) : self

  Returns a new DistanceMatrix with the results of running the block against each element of the matrix.

• #map!(& : Float64 -> Float64) : self

  Invokes the given block for each element of the distance matrix, replacing the element with the value returned by the block.

• #matrix_to_condensed_index(row : Int32, col : Int32) : Int32

  Returns the condensed matrix index of the distance between the elements at i and j.

• #size : Int32

  Returns the size of the encoded matrix.

• #to_a : Array(Float64)

  Returns the condensed distance matrix as an array.

• #to_unsafe(row : Int32, col : Int32) : Pointer(Float64)

  Returns a pointer to the internal buffer placed at the specified location.

• #to_unsafe : Pointer(Float64)

  Returns a pointer to the internal buffer.

• #unsafe_fetch(i : Int32, j : Int32) : Float64

  Returns the distance between the elements at i and j, without doing any bounds check.

• #unsafe_fetch(index : Int) : Float64

  Returns the distance at the given index of the condensed distance matrix (one-dimensional), without doing any bounds check.

• #unsafe_put(i : Int32, j : Int32, value : Float64) : Float64

  Sets the distance between the elements at i and j to value, without doing any bounds check.

• #unsafe_put(index : Int32, value : Float64) : Float64

  Sets the distance at the given index of the condensed distance matrix (one-dimensional) to value, without doing any bounds check.

Constructor Detail

HClust::DistanceMatrix.new(5) do |i, j|
  # compute distance between elements i and j
  10 * (i + 1) + j + 1
end

Instance Method Detail