public static bool CalculateManhattanMetricForOneTestSet(Reuter testSet, List <Reuter> TrainingVectors, int k)
{
double xn = 0;
double yn = 0;
double underSqrt = 0;
TestVectorAndTrainingVectorsCollection result = new TestVectorAndTrainingVectorsCollection();
for (int i = 0; i < TrainingVectors.Count; i++) //wykonujemy petle dla kazdego wzorca treningowego
{
foreach (var word in testSet.VectorFeatures) //sprawdzamy dla kazdego slowa z wektora testowego czy istnieje takie slowo w wektorze treningowym
{
if (TrainingVectors.ElementAt(i).VectorFeatures.ContainsKey(word.Key))
{
yn = TrainingVectors.ElementAt(i).VectorFeatures[word.Key];
}
else
{
yn = 0;
}
xn = word.Value;
underSqrt += Math.Abs(xn - yn);
}
TrainingVectors.ElementAt(i).HowFar = underSqrt;
result.TestReuter = testSet;
underSqrt = 0;
}
result.TrainingReuters = TrainingVectors;
return(KnnAlgorithm.Calculate(result, k));
}
//Team frequency
public static void HowManyWordsExtractor(Reuter reut)
{
int howManyTimeWordOccur = 0;
Dictionary <string, double> vectorFeature = new Dictionary <string, double>();
for (int i = 0; i < reut.Text.Count; i++)
{
for (int j = 0; j < reut.Text.Count; j++)
{
if (reut.Text.ElementAt(i) == reut.Text.ElementAt(j))
{
howManyTimeWordOccur++;
}
}
if (vectorFeature.ContainsKey(reut.Text.ElementAt(i)))
{
continue;
}
if (reut.Text.ElementAt(i).Equals(""))
{
continue;
}
vectorFeature.Add(reut.Text.ElementAt(i), (double)howManyTimeWordOccur / reut.Text.Count);
howManyTimeWordOccur = 0;
}
reut.VectorFeatures = vectorFeature;
}
public static bool ChoosePlace(List <Reuter> neighbours, Reuter TestReuter)
{
List <Reuter> tempneighbours = neighbours.ToList();
int howManyTimesOccur = 0;
Dictionary <string, int> howManyPlaces = new Dictionary <string, int>();
for (int i = 0; i < tempneighbours.Count; i++)
{
for (int j = 0; j < tempneighbours.Count; j++)
{
if (tempneighbours.ElementAt(i).Places.First() == tempneighbours.ElementAt(j).Places.First())
{
howManyTimesOccur++;
}
}
if (howManyPlaces.ContainsKey(tempneighbours.ElementAt(i).Places.First()))
{
howManyTimesOccur = 0;
continue;
}
howManyPlaces.Add(tempneighbours.ElementAt(i).Places.First(), howManyTimesOccur);
howManyTimesOccur = 0;
}
howManyPlaces = howManyPlaces.OrderByDescending(x => x.Value)
.ToDictionary(pair => pair.Key, pair => pair.Value);
List <KeyValuePair <string, int> > result = howManyPlaces.ToList();
var FoundPlace = result.First().Key;
if (TestReuter.Places.First().Equals(FoundPlace))
{
return(true);
}
else
{
return(false);
}
}
public static Task HowManyWordsExtractorAsync(Reuter reut)
{
return(Task.Factory.StartNew(() => HowManyWordsExtractor(reut)));
}
