/// <summary>
/// Perform an ANN search on the class' world, given a vector, returning the (approximate) k-best results.
/// </summary>
/// <param name="queryVector">The query vector.</param>
/// <param name="kBest">How many results should be returned (K-Value).</param>
/// <returns>A <see cref="QueryResult"/> object containing the K best results.</returns>
public QueryResult RunANNQuery(NamedFeatureVector queryVector, int kBest)
{
QueryResult queryresult = new QueryResult(queryVector.Name);
IList <SmallWorld <NamedFeatureVector, double> .KNNSearchResult> kBestResults = world.KNNSearch(queryVector, kBest);
foreach (SmallWorld <NamedFeatureVector, double> .KNNSearchResult queryitem in kBestResults)
{
queryresult.AddItem(new QueryItem(queryitem.Item.Name, queryitem.Distance));
}
return(queryresult);
}
/// <summary>
/// Distance function used for calculating the distances between vectors.
/// </summary>
/// <param name="vector1">The first vector.</param>
/// <param name="vector2">The second vector.</param>
/// <returns></returns>
private static double ANNDistance(NamedFeatureVector vector1, NamedFeatureVector vector2)
{
return(vector1.FeatureVector.Compare(vector2.FeatureVector));
}