private void calculateSimiliarity( Trie window )
{
List<Node> windowWords = window.getAll();
List<string> windowVector = new List<string>();
Distribution X = new Distribution();
double xmax = 0;
foreach ( Node n in windowWords ) {
string s = n.ToString();
windowVector.Add(s);
double x = window.weight > 0 ? n.getNumOfAppearances() / (double)window.weight : 0;
X.add(s , x );
xmax += x * x;
}
double rmin = 0;
foreach ( Topic t in SuggestionUtils.fringeTopics.Values ) {
Distribution Y = t.topicVector;
t.rtmin = 0;
for ( int i = 0 ; i < Math.Max(Y.count , X.count) ; i++ )
t.rtmin += Math.Pow(Y[i] - X[i] , 2);
rmin = Math.Min(rmin,t.rtmin);
t.rtmax = xmax;
for ( int i = 0 ; i < Y.count ; i++ )
t.rtmax += Math.Pow(Y[i], 2);
List<string> union = new List<string>(windowVector);
foreach (object o in Y.keys )
if (union.Contains((string)o))
union.Add((string)o);
t.rt = 0;
for ( int i = 0 ; i < union.Count ; i++ ) {
string s = union[i];
double xs = X[s];
double ys = Y[s];
t.rt += Math.Pow(xs - ys , 2);
}
}
foreach ( Topic t in SuggestionUtils.fringeTopics.Values ) {
double frt = ( t.rt - rmin ) / ( t.rtmax - rmin );
t.similiarity = similiarity1(frt);
if ( onTopicReady != null ) onTopicReady(t);
Form3.updateChartForTopic(t.topic , frt);
Stats.updateChartForTopic(t.topic , frt);
}
Form2.showPlots(1);
}
