// сравнение
private List <string[]> Sravn(string[][] data)
{
List <string[]> rezlist = new List <string[]>();
foreach (string[] str in data)
{
// количество слов в строке
if (str.Count() != 2)
{
continue;
}
else
{
string[] mass;
SimMetricsMetricUtilities.Levenstein ex_l = new SimMetricsMetricUtilities.Levenstein();
Stopwatch t = new Stopwatch();
t.Start();
double rj1 = Math.Round(Jaro.Func(str[0], str[1]), 2);
string tj1 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
t = new Stopwatch();
t.Start();
double rj2 = Math.Round(ExJaro.distance(str[0], str[1]), 2);
string tj2 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
// -----
t = new Stopwatch();
t.Start();
double rjv1 = Math.Round(JaroVincler.Func(str[0], str[1]), 2);
string tjv1 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
t = new Stopwatch();
t.Start();
double rjv2 = Math.Round(ExJaroWincler.distance(str[0], str[1]), 2);
string tjv2 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
// ----
t = new Stopwatch();
t.Start();
double rl1 = Math.Round(Levenstein.Func(str[0], str[1]), 2);
string tl1 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
t = new Stopwatch();
t.Start();
double rl2 = Math.Round(ex_l.GetSimilarity(str[0], str[1]), 2);
string tl2 = Math.Round(t.Elapsed.TotalMilliseconds, 2).ToString();
rezlist.Add(new string[14] {
rj1.ToString(), tj1, rj2.ToString(), tj2,
rjv1.ToString(), tjv1, rjv2.ToString(), tjv2,
rl1.ToString(), tl1, rl2.ToString(), tl2, str[0], str[1]
});
}
}
return(rezlist);
}
private static bool FuzzyMatchesFood(this string unknownText, string knownFood)
{
var ls = new SimMetricsMetricUtilities.Levenstein();
var similarity = ls.GetSimilarity(unknownText, knownFood);
return similarity > 0.75;
}
