/// <summary>
/// Returns distance between two N-dimensional double vectors.
/// </summary>
///
/// <param name="p">1st point vector.</param>
/// <param name="q">2nd point vector.</param>
///
/// <returns>Returns Cosine distance between two supplied vectors.</returns>
///
/// <exception cref="ArgumentException">Thrown if the two vectors are of different dimensions (if specified
/// array have different length).</exception>
///
public double GetDistance( double[] p, double[] q )
{
double distance;
CosineSimilarity dist = new CosineSimilarity( );
distance = (double) 1 - dist.GetSimilarityScore( p, q );
return distance;
}
/// <summary>
/// Returns distance between two N-dimensional double vectors.
/// </summary>
///
/// <param name="p">1st point vector.</param>
/// <param name="q">2nd point vector.</param>
///
/// <returns>Returns Cosine distance between two supplied vectors.</returns>
///
/// <exception cref="ArgumentException">Thrown if the two vectors are of different dimensions (if specified
/// array have different length).</exception>
///
public double GetDistance(double[] p, double[] q)
{
double distance;
var dist = new CosineSimilarity();
distance = 1 - dist.GetSimilarityScore(p, q);
return(distance);
}
public void CosineSimilarityTest( )
{
CosineSimilarity sim = new CosineSimilarity( );
Assert.Throws<ArgumentException>( ( ) => sim.GetSimilarityScore( p0, q4 ) );
double result = sim.GetSimilarityScore( p0, q0 );
Assert.AreApproximatelyEqual( result, .8, 0.00001 );
result = sim.GetSimilarityScore( p1, q1 );
Assert.AreApproximatelyEqual( result, 0.97014, 0.00001 );
result = sim.GetSimilarityScore( p2, q2 );
Assert.AreEqual( result, 0 );
result = sim.GetSimilarityScore( p3, q3 );
Assert.AreApproximatelyEqual( result, 1, 0.00001 );
result = sim.GetSimilarityScore( p4, q4 );
Assert.AreApproximatelyEqual( result, 0.96065, 0.00001 );
result = sim.GetSimilarityScore( p5, q5 );
Assert.AreApproximatelyEqual( result, 0.96897, 0.00001 );
}
