public void CalculateTest(double first, double expected)
{
var calculator = new Cosine();
var actualResult = calculator.Calculate(first);
Assert.AreEqual(expected, actualResult, 0.0001);
}
private void Update()
{
Texture2D texture2D = new Texture2D(1920, 1080);
for (int i = 0; i < 1920; i++)
{
for (int k = 0; k < 1080; k++)
{
texture2D.SetPixel(i, k, Color.white);
}
}
for (int i = 0; i < 1920; i++)
{
var pos = Cosine.Interpolation(horizontal, i / 1920f, i);
int size = 3;
for (int q = 0; q < size; q++)
{
for (int p = 0; p < size; p++)
{
texture2D.SetPixel((int)pos.x + p, (int)pos.y + q, Color.black);
}
}
//Debug.Log(pos + $"{i / 1920f}");
}
texture2D.Apply();
rawImage.texture = texture2D;
}
private void Ok_Click(object sender, RoutedEventArgs e)
{
var format = new NumberFormatInfo();
format.NegativeSign = "-";
var valuesCol1 = (from row in mainWindow.gridData.AsEnumerable()
select Convert.ToDouble(ConvertString(row.Field <string>(mainWindow.gridData.Columns[comboBoxCol1.SelectedItem.ToString()].ColumnName)), format)).ToArray();
var valuesCol2 = (from row in mainWindow.gridData.AsEnumerable()
select Convert.ToDouble(ConvertString(row.Field <string>(mainWindow.gridData.Columns[comboBoxCol2.SelectedItem.ToString()].ColumnName)), format)).ToArray();
if (similarityMeasures.SelectedItem.ToString() == "Jaccard")
{
var jaccard = new Jaccard();
textBlock.Text += "\nPodobieństwo miary Jaccard pomiędzy kolumnami " + comboBoxCol1.SelectedItem.ToString() + " i " + comboBoxCol2.SelectedItem.ToString() + " wynosi: " + jaccard.Similarity(valuesCol1, valuesCol2).ToString();
}
else if (similarityMeasures.SelectedItem.ToString() == "Korelacja Pearsona")
{
var pearsonCorrelation = new PearsonCorrelation();
textBlock.Text += "\nPodobieństwo miary Korelacja Pearsona pomiędzy kolumnami " + comboBoxCol1.SelectedItem.ToString() + " i " + comboBoxCol2.SelectedItem.ToString() + " wynosi: " + pearsonCorrelation.Similarity(valuesCol1, valuesCol2).ToString();
}
else if (similarityMeasures.SelectedItem.ToString() == "Cosinus")
{
var cosine = new Cosine();
textBlock.Text += "\nPodobieństwo miary Cosinus pomiędzy kolumnami " + comboBoxCol1.SelectedItem.ToString() + " i " + comboBoxCol2.SelectedItem.ToString() + " wynosi: " + cosine.Similarity(valuesCol1, valuesCol2).ToString();
}
}
public int Compare(Coordinate x, Coordinate y)
{
if (x == null)
{
throw new ArgumentNullException(nameof(x));
}
if (y == null)
{
throw new ArgumentNullException(nameof(y));
}
var v1 = new Vector(_referenceVector.B, x);
var v2 = new Vector(_referenceVector.B, y);
var cos1 = Cosine.FromVectors(_referenceVector, v1);
var cos2 = Cosine.FromVectors(_referenceVector, v2);
if (x.Equals(_referenceVector.B) || cos1.AlmostEquals(cos2))
{
return(0);
}
if (cos1 < cos2)
{
return(-1);
}
return(1);
}
public void ModuleTest(double value, double expected)
{
var calculator = new Cosine();
var actualResult = calculator.Calculate(value);
Assert.AreEqual(expected, actualResult, 0.001);
}
private void txtSearch_TextChanged(object sender, EventArgs e)
{
string searchValue = txtSearch.Text;
if (keyControl == 0)
{
listSongs_Search = songDAO.searchSong(searchValue);
loadSongLabel();
}
else if (keyControl == 1)
{
SidePanel.Height = btHome.Height;
SidePanel.Top = btHome.Top;
listAlbums = albumDAO.searchAlbums(searchValue);
loadAlbumLabel();
}
else if (keyControl == 2)
{
SidePanel.Height = btAlbum.Height;
SidePanel.Top = btAlbum.Top;
listArtist = artistDAO.searchArtists(searchValue);
loadArtistLabel();
}
else if (keyControl == 3)
{
var cs = new Cosine();
List <SongDTO> listSongs_temp = songDAO.loadAllSongs();
List <KeyVal> lyricRanking = new List <KeyVal>();
for (int i = 0; i < listSongs_temp.Count; i++)
{
KeyVal keyVal = new KeyVal(i, cs.Similarity(searchValue, listSongs_temp[i].Lyrics));
lyricRanking.Add(keyVal);
}
lyricRanking.Sort(delegate(KeyVal x, KeyVal y)
{
int a = x.Value.CompareTo(y.Value);
a = y.Value.CompareTo(x.Value);
return(a);
});
listSongs_Search = new List <SongDTO>();
if (lyricRanking.Count >= 5)
{
for (int i = 0; i < 5; i++)
{
listSongs_Search.Add(listSongs_temp[lyricRanking[i].Id]);
}
}
loadSongLabel();
}
else if (keyControl == 4)
{
SidePanel.Height = btPlaylist.Height;
SidePanel.Top = btPlaylist.Top;
listPlaylist = playlistDAO.searchPlaylistsOfUser(username, searchValue);
loadPlaylistLabel();
}
}
public void TestDistance()
{
var instance = new Cosine();
NullEmptyTests.TestDistance(instance);
// TODO: regular (non-null/empty) distance tests
}
private static void ExercisesLessonOne()
{
var listX = new List <double>();
listX.Add(4);
listX.Add(2);
Vector x = new Vector(listX);
var listAmy = new List <double>();
listAmy.Add(5);
listAmy.Add(5);
Vector amy = new Vector(listAmy);
var listClara = new List <double>();
listClara.Add(4.75);
listClara.Add(4.5);
listClara.Add(5);
listClara.Add(4.25);
listClara.Add(4);
Vector clara = new Vector(listClara);
var listRobert = new List <double>();
listRobert.Add(4);
listRobert.Add(3);
listRobert.Add(5);
listRobert.Add(2);
listRobert.Add(1);
Vector robert = new Vector(listRobert);
var listAmy2 = new List <double>();
listAmy2.Add(3.0);
Vector amyTwo = new Vector(listAmy2);
var listX2 = new List <double>();
listX2.Add(5.0);
listX2.Add(2.5);
listX2.Add(2.0);
Vector xTwo = new Vector(listX2);
var one = new Euclidian().Calculate(amy, x);
var two = new Manhattan().Calculate(amy, x);
var three = new Pearson().Calculate(clara, robert);
var four = new Cosine().Calculate(clara, robert);
var five = new Cosine().Calculate(amyTwo, xTwo);
Console.WriteLine("\nEuclidian between Amy and X = " + one);
Console.WriteLine("Manhattan between Amy and X = " + two);
Console.WriteLine("Pearson between Clara and Robert = " + three);
Console.WriteLine("Cosine between Clara and Robert = " + four);
Console.WriteLine("Cosine between Amy and X (incomplete) = " + five);
}
public Dictionary <int, double> FindNearestNeighbour(Dictionary <int, Dictionary <int, double> > ratings,
int targetUser, double threshold, int max, Similarity similarityType)
{
//Get target user from list of ratings
var target = ratings.FirstOrDefault(q => q.Key == targetUser).Value;
foreach (var user in ratings)
{
if (user.Key != targetUser)
{
double similarity = 0;
//Convert ratings of both users to vectors
var vectors = new Helper().ConvertToVector(user.Value, target, similarityType);
//Calculate similarity based on similarity type
switch (similarityType)
{
case Similarity.Euclidian:
similarity = new Euclidian().Calculate(vectors.Item1, vectors.Item2);
break;
case Similarity.Pearson:
similarity = new Pearson().Calculate(vectors.Item1, vectors.Item2);
break;
case Similarity.Cosine:
similarity = new Cosine().Calculate(vectors.Item1, vectors.Item2);
break;
default:
break;
}
//Check if similarity is above threshold
if (similarity > threshold && HasRatedAdditionalItems(user.Value, target))
{
if (neighbours.Count < max)
{
neighbours.Add(user.Key, similarity);
}
else
{
var lowest = neighbours.OrderBy(o => o.Value).First();
if (similarity > lowest.Value)
{
neighbours.Remove(lowest.Key);
neighbours.Add(user.Key, similarity);
}
}
}
}
}
return(neighbours);
}
public void InterpolationCosine()
{
var _interpolation = new Cosine();
_interpolation.Add(0, 5);
_interpolation.Add(2, -5);
_interpolation.Add(4, 6);
Assert.AreEqual(0, _interpolation.Interpolate(1), 0.01, "Cosine interpolation at x=0 failed!");
Assert.AreEqual(0.5, _interpolation.Interpolate(3), 0.01, "Cosine interpolation at x=3 failed!");
Assert.AreEqual(4.3891, _interpolation.Interpolate(3.5), 0.01, "Cosine interpolation at x=3.5 failed!");
}
public void Cosine_Is_Replaced_By_Result()
{
var input = new Cosine {
Value = 9
};
new ExpressionsWithOnlyConstantChildrenSimplifier().Simplify(input)
.Should()
.BeOfType <Constant>()
.Which.Value.Should()
.Be(9);
}
private static void cosine_transform_test01()
//****************************************************************************80
//
// Purpose:
//
// COSINE_TRANSFORM_TEST01 applies the DCT and its inverse.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 27 August 2015
//
// Author:
//
// John Burkardt
//
{
int i;
const int n = 10;
int seed = 123456789;
Console.WriteLine("");
Console.WriteLine("COSINE_TRANSFORM_TEST01:");
Console.WriteLine(" COSINE_TRANSFORM_DATA does a cosine transform of data");
Console.WriteLine(" defined by a vector.");
Console.WriteLine("");
Console.WriteLine(" Apply the transform, then its inverse.");
Console.WriteLine(" Let R be a random N vector.");
Console.WriteLine(" Let S be the transform of D.");
Console.WriteLine(" Let T be the transform of E.");
Console.WriteLine(" Then R and T will be equal.");
double[] r = UniformRNG.r8vec_uniform_01_new(n, ref seed);
double[] s = Cosine.cosine_transform_data(n, r);
double[] t = Cosine.cosine_transform_inverse(n, s);
Console.WriteLine("");
Console.WriteLine(" I R(I) S(I) T(I)");
Console.WriteLine("");
for (i = 0; i < n; i++)
{
Console.WriteLine(" " + i.ToString(CultureInfo.InvariantCulture).PadLeft(4)
+ " " + r[i].ToString(CultureInfo.InvariantCulture).PadLeft(10)
+ " " + s[i].ToString(CultureInfo.InvariantCulture).PadLeft(10)
+ " " + t[i].ToString(CultureInfo.InvariantCulture).PadLeft(10) + "");
}
}
public void TestSimilarity()
{
var instance = new Cosine();
var result = instance.Similarity("ABC", "ABCE");
Assert.Equal(
expected: 0.71,
actual: result,
precision: 2 // 0.01
);
}
public void TestSmallString()
{
var instance = new Cosine(3);
var result = instance.Similarity("AB", "ABCE");
Assert.Equal(
expected: 0.0,
actual: result,
precision: 5 //0.00001
);
}
public Database()
{
wordNetWrapper = new WordNetWrapper();
cosine = new Cosine(CharSequence);
string filePath = "./database.json";
string content = System.IO.File.ReadAllText(filePath);
entries = JsonConvert.DeserializeObject <DatabaseEntries>(content).entries;
setParents(entries, null);
Console.WriteLine("Number of top-level database entries: " + entries.Length);
Console.WriteLine("Finished Database Setup.");
}
public static void CanCosine()
{
var num1 = 1;
var num2 = Math.PI;
var result1 = Math.Cos(num1);
var result2 = Math.Cos(num2);
var cos1 = new Cosine(new Number(num1));
var cos2 = new Cosine(Number.Pi);
Assert.AreEqual(result1, cos1.GetValue().AsFloatingPt);
Assert.AreEqual(result2, cos2.GetValue().AsFloatingPt);
}
public void CosineTest1()
{
#region doc_cosine_2
// The Cosine distance between (0, 2, 4) and (2, 5, 1) can be directly computed as:
double a = Distance.Cosine(new[] { 0.0, 2.0, 4.0 }, new[] { 2.0, 5.0, 1.0 }); // ~0.42845239335059182d
// Or could also be computed by instantiating the Cosine class beforehand as:
Cosine cos = new Cosine();
double b = cos.Distance(new[] { 0.0, 2.0, 4.0 }, new[] { 2.0, 5.0, 1.0 }); // ~0.42845239335059182d
#endregion
Assert.AreEqual(0.42845239335059182d, a, 1e-10);
Assert.AreEqual(a, b);
}
public static void cos_power_int_values_test()
//****************************************************************************80
//
// Purpose:
//
// COS_POWER_INT_VALUES_TEST tests COS_POWER_INT_VALUES.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 21 January 2015
//
// Author:
//
// John Burkardt
//
{
double a = 0;
double b = 0;
double fx = 0;
int n = 0;
Console.WriteLine("");
Console.WriteLine("COS_POWER_INT_VALUES_TEST:");
Console.WriteLine(" COS_POWER_INT_VALUES returns values of");
Console.WriteLine(" the integral of the N-th power of the cosine function.");
Console.WriteLine("");
Console.WriteLine(" A B N FX");
Console.WriteLine("");
int n_data = 0;
for (;;)
{
Cosine.cos_power_int_values(ref n_data, ref a, ref b, ref n, ref fx);
if (n_data == 0)
{
break;
}
Console.WriteLine(" "
+ a.ToString(CultureInfo.InvariantCulture).PadLeft(8) + " "
+ b.ToString(CultureInfo.InvariantCulture).PadLeft(8) + " "
+ n.ToString(CultureInfo.InvariantCulture).PadLeft(6) + " "
+ fx.ToString("0.################").PadLeft(24) + "");
}
}
public void FromVectors_ShouldGetCosineOfAngleBetween90DegreeVectors()
{
var p1 = new Coordinate(0, 0);
var p2 = new Coordinate(3, 0);
var p3 = new Coordinate(4, 0);
var p4 = new Coordinate(4, 4);
var v1 = new Vector(p1, p2);
var v2 = new Vector(p3, p4);
// vectors form 90 degrees
var cos = Cosine.FromVectors(v1, v2);
Assert.Equal(0, cos);
}
internal static void Main(string[] args)
{
var questionOne = "What is your zip code?";
var questionTwo = "What is your postal code?";
ISimilarityAlgorithm jaccardIndexAlgorithm = new Jaccard();
var jaccardIndex = jaccardIndexAlgorithm.Run(questionOne, questionTwo);
ISimilarityAlgorithm cosineSimilarityAlgorithm = new Cosine();
var cosineSimilarity = cosineSimilarityAlgorithm.Run(questionOne, questionTwo);
Console.WriteLine($"Jaccard similarity: {jaccardIndex}");
Console.WriteLine($"Cosine similarity: {cosineSimilarity}");
Console.Read();
}
public void CosineAnalysis(CallsInfo[] calls)
{
_logger.LogInformation("Анализ похожих методом Cosine");
var l = new Cosine();
foreach (var call in calls)
{
if (call.Text == null)
{
continue;
}
var words = call.Text.Split(' ');
foreach (var announcement in call.Announcements)
{
if (announcement.Street == default)
{
continue;
}
double max_similarity = default;
string best_word = default;
foreach (var word in words)
{
var similarity = l.Similarity(word.ToLower(), announcement.Street.ToLower());
if (similarity >= max_similarity)
{
best_word = word;
max_similarity = similarity;
}
}
announcement.Features.Add(new FeatureInfo
{
Name = FeatureInfo.COSINE,
Weight = max_similarity,
Data = best_word ?? ""
});
}
}
_logger.LogInformation("Закончили");
}
public async Task TestLargeString()
{
var instance = new Cosine();
// Read text from two files
var string1 = await ReadResourceFileAsync("71816-2.txt");
var string2 = await ReadResourceFileAsync("11328-1.txt");
var result = instance.Similarity(string1, string2);
Assert.Equal(
expected: 0.8115,
actual: result,
precision: 3 //0.001
);
}
public static void ci_values_test()
//****************************************************************************80
//
// Purpose:
//
// CI_VALUES_TEST tests CI_VALUES.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 09 February 2007
//
// Author:
//
// John Burkardt
//
{
double fx = 0;
double x = 0;
Console.WriteLine("");
Console.WriteLine("CI_VALUES_TEST:");
Console.WriteLine(" CI_VALUES stores values of");
Console.WriteLine(" the Cosine Integral function CI(X).");
Console.WriteLine("");
Console.WriteLine(" X CI(X)");
Console.WriteLine("");
int n_data = 0;
for (;;)
{
Cosine.ci_values(ref n_data, ref x, ref fx);
if (n_data == 0)
{
break;
}
Console.WriteLine(" "
+ x.ToString(CultureInfo.InvariantCulture).PadLeft(12) + " "
+ fx.ToString(CultureInfo.InvariantCulture).PadLeft(12) + "");
}
}
public void FromVectors_ShouldGetCosineOfAngleBetween45DegreeVectors()
{
var p1 = new Coordinate(0, 0);
var p2 = new Coordinate(3, 0);
var p3 = new Coordinate(4, 0);
var p4 = new Coordinate(5, 1);
var v1 = new Vector(p1, p2);
var v2 = new Vector(p3, p4);
var cosOf45Degrees = Math.Cos((Math.PI / 180) * 45);
// vectors form 90 degrees
var cos = Cosine.FromVectors(v1, v2);
Assert.True(cosOf45Degrees.AlmostEquals(cos));
}
public static void cosh_values_test()
//****************************************************************************80
//
// Purpose:
//
// COSH_VALUES_TEST tests COSH_VALUES.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 23 June 2007
//
// Author:
//
// John Burkardt
//
{
double fx = 0;
double x = 0;
Console.WriteLine("");
Console.WriteLine("COSH_VALUES_TEST:");
Console.WriteLine(" COSH_VALUES stores values of the hyperbolic cosine function.");
Console.WriteLine("");
Console.WriteLine(" X FX");
Console.WriteLine("");
int n_data = 0;
for (;;)
{
Cosine.cosh_values(ref n_data, ref x, ref fx);
if (n_data == 0)
{
break;
}
Console.WriteLine(" "
+ x.ToString("0.################").PadLeft(24) + " "
+ fx.ToString("0.################").PadLeft(24) + "");
}
}
static void Main(string[] args)
{
const string firstReportPath = @".\Content\FirstReport.xml";
const string secondReportPath = @".\Content\SecondReport.xml";
const string thirdReportPath = @".\Content\ThirdReport.xml";
const string forthReportPath = @".\Content\ForthReport.xml";
var firstReportContent = GetAnalysisReportContent(firstReportPath);
var secondReportContent = GetAnalysisReportContent(secondReportPath);
var thirdReportContent = GetAnalysisReportContent(thirdReportPath);
var forthReportContent = GetAnalysisReportContent(forthReportPath);
var cosineDistance12 = Cosine.Distance(firstReportContent, secondReportContent);
var cosineDistance23 = Cosine.Distance(secondReportContent, thirdReportContent);
var cosineDistance14 = Cosine.Distance(firstReportContent, forthReportContent);
var euclideanDistance12 = LrNorm.Euclidean(firstReportContent, secondReportContent);
var euclideanDistance23 = LrNorm.Euclidean(secondReportContent, thirdReportContent);
var euclideanDistance14 = LrNorm.Euclidean(firstReportContent, forthReportContent);
var manhattanDistance12 = LrNorm.Manhattan(firstReportContent, secondReportContent);
var manhattanDistance23 = LrNorm.Manhattan(secondReportContent, thirdReportContent);
var manhattanDistance14 = LrNorm.Manhattan(firstReportContent, forthReportContent);
Console.WriteLine($"FirstReport.xml filehash = {CalculateFileHash(firstReportPath)}");
Console.WriteLine($"SecondReport.xml filehash = {CalculateFileHash(secondReportPath)}");
Console.WriteLine($"ThirdReport.xml filehash = {CalculateFileHash(thirdReportPath)}");
Console.WriteLine($"ForthReport.xml filehash = {CalculateFileHash(forthReportPath)}");
Console.WriteLine($"Cosine First & Second = {cosineDistance12}");
Console.WriteLine($"Cosine Second & Third = {cosineDistance23}");
Console.WriteLine($"Cosine First & Forth = {cosineDistance14}");
Console.WriteLine();
Console.WriteLine($"Euclidean First & Second = {euclideanDistance12}");
Console.WriteLine($"Euclidean Second & Third = {euclideanDistance23}");
Console.WriteLine($"Euclidean First & Forth = {euclideanDistance14}");
Console.WriteLine();
Console.WriteLine($"Manhattan First & Second = {manhattanDistance12}");
Console.WriteLine($"Manhattan Second & Third = {manhattanDistance23}");
Console.WriteLine($"Manhattan First & Forth = {manhattanDistance14}");
Console.ReadKey();
}
public virtual TResult Visit(BaseExpression expression)
{
return(expression switch {
Phi a => Visit(a),
Increment a => Visit(a),
Decrement a => Visit(a),
ErrorExpression a => Visit(a),
Bracketed a => Visit(a),
Abs a => Visit(a),
Sqrt a => Visit(a),
Sine a => Visit(a),
Cosine a => Visit(a),
Tangent a => Visit(a),
ArcSine a => Visit(a),
ArcCos a => Visit(a),
ArcTan a => Visit(a),
PostIncrement a => Visit(a),
PreIncrement a => Visit(a),
PostDecrement a => Visit(a),
PreDecrement a => Visit(a),
Add a => Visit(a),
Subtract a => Visit(a),
Multiply a => Visit(a),
Divide a => Visit(a),
Modulo a => Visit(a),
Negate a => Visit(a),
Exponent a => Visit(a),
Or a => Visit(a),
And a => Visit(a),
Not a => Visit(a),
Factorial a => Visit(a),
Variable a => Visit(a),
ConstantNumber a => Visit(a),
ConstantString a => Visit(a),
EqualTo a => Visit(a),
NotEqualTo a => Visit(a),
GreaterThan a => Visit(a),
GreaterThanEqualTo a => Visit(a),
LessThan a => Visit(a),
LessThanEqualTo a => Visit(a),
_ => VisitUnknown(expression)
});
public void TestCosine()
{
var sampler = new Cosine
{
Amplitude = 2,
Frequency = 5,
Phase = 0.25,
Offset = 1,
Start = 0,
Finish = 1,
SamplingRate = 120,
IgnoreLastSample = true
};
var output = sampler.ExecuteSampler();
var outputText = output.ToString();
Assert.IsTrue(sampler.Name != null);
Assert.AreEqual("1.000 0.482 0.000 -0.414 -0.732 -0.932 -1.000 -0.932 -0.732 -0.414 0.000 0.482 1.000 1.518 2.000 2.414 2.732 2.932 3.000 2.932 2.732 2.414 2.000 1.518 1.000 0.482 0.000 -0.414 -0.732 -0.932 -1.000 -0.932 -0.732 -0.414 0.000 0.482 1.000 1.518 2.000 2.414 2.732 2.932 3.000 2.932 2.732 2.414 2.000 1.518 1.000 0.482 0.000 -0.414 -0.732 -0.932 -1.000 -0.932 -0.732 -0.414 0.000 0.482 1.000 1.518 2.000 2.414 2.732 2.932 3.000 2.932 2.732 2.414 2.000 1.518 1.000 0.482 0.000 -0.414 -0.732 -0.932 -1.000 -0.932 -0.732 -0.414 0.000 0.482 1.000 1.518 2.000 2.414 2.732 2.932 3.000 2.932 2.732 2.414 2.000 1.518 1.000 0.482 0.000 -0.414 -0.732 -0.932 -1.000 -0.932 -0.732 -0.414 0.000 0.482 1.000 1.518 2.000 2.414 2.732 2.932 3.000 2.932 2.732 2.414 2.000 1.518",
outputText);
}
static void Main(string[] args)
{
DiferenciasEntities db = new DiferenciasEntities();
var query = db.Edicion.Where(x => x.Tecnico.Equals("CSM05"));
string[] edits = query.Select(x => x.CadenaInicial).ToArray();
string[][] words = edits.Tokenize();
var codebook = new BagOfWords()
{
MaximumOccurance = 1
};
codebook.Learn(words);
double[] bow1 = codebook.Transform(words[0]);
double[] bow2 = codebook.Transform(words[1]);
Cosine cosine = new Cosine();
Console.WriteLine(cosine.Similarity(bow1, bow2));
}
protected virtual IEnumerable <RecommendedArticle> CalculateSimilarityWithCOSIN(IEnumerable <TransformedArticleData> transformedArticles, IEnumerable <PopularArticle> popularArticles)
{
var cosine = new Cosine();
foreach (var popularArticle in popularArticles)
{
var selectedArticleVector = transformedArticles.First(a => a.Id == popularArticle.ArticleId).Features;
foreach (var transformedArticle in transformedArticles)
{
if (popularArticle.ArticleId == transformedArticle.Id)
{
continue;
}
var similarity = cosine.Similarity(ConvertToDouble(selectedArticleVector), ConvertToDouble(transformedArticle.Features));
yield return(new RecommendedArticle {
ArticleId = transformedArticle.Id, UserId = popularArticle.UserId, Score = popularArticle.Score + similarity
});
}
}
}
