/// <summary>
/// Computes cosine similarities between documents via the Vector Space Model.
/// </summary>
/// <param name="source">Source artifacts</param>
/// <param name="target">Target artifacts</param>
/// <param name="weight">Weighting scheme</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix Compute(TLArtifactsCollection source, TLArtifactsCollection target, VSMWeightEnum weight)
{
switch (weight)
{
case VSMWeightEnum.TFIDF:
return SimilarityUtil.ComputeCosine(WeightUtil.ComputeTFIDF(new TermDocumentMatrix(source, target)), source.Keys, target.Keys);
case VSMWeightEnum.BooleanQueriesAndTFIDFCorpus:
return SimilarityUtil.ComputeCosine(WeightUtil.ComputeBinaryTF(new TermDocumentMatrix(source)), WeightUtil.ComputeTFIDF(new TermDocumentMatrix(target)));
case VSMWeightEnum.NoWeight:
return SimilarityUtil.ComputeCosine(new TermDocumentMatrix(source, target), source.Keys, target.Keys);
default:
throw new NotImplementedException("Unknown weighting scheme \"" + weight + "\"");
}
}
/// <summary>
/// Computes cosine similarities between documents via the Vector Space Model.
/// </summary>
/// <param name="source">Source artifacts</param>
/// <param name="target">Target artifacts</param>
/// <param name="weight">Weighting scheme</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix Compute(TLArtifactsCollection source, TLArtifactsCollection target, VSMWeightEnum weight)
{
switch (weight)
{
case VSMWeightEnum.TFIDF:
return(SimilarityUtil.ComputeCosine(WeightUtil.ComputeTFIDF(new TermDocumentMatrix(source, target)), source.Keys, target.Keys));
case VSMWeightEnum.BooleanQueriesAndTFIDFCorpus:
return(SimilarityUtil.ComputeCosine(WeightUtil.ComputeBinaryTF(new TermDocumentMatrix(source)), WeightUtil.ComputeTFIDF(new TermDocumentMatrix(target))));
case VSMWeightEnum.NoWeight:
return(SimilarityUtil.ComputeCosine(new TermDocumentMatrix(source, target), source.Keys, target.Keys));
default:
throw new NotImplementedException("Unknown weighting scheme \"" + weight + "\"");
}
}
