Matlab Exception while using C#

Hello,

I've made a dll version of a clustering algorithm implemented in matlab http://www.psi.toronto.edu/affinitypropagation/software/apclusterSparse.m

Also, I've downloaded an working sample of the input data and I'm reading it and also converting it to a Matlab known data type.

The data sample can be found here: http://www.psi.toronto.edu/affinitypropagation/webapp/ --- It's the Toy Problem

However, when running the algorithm I get the following error:

... MWMCR::EvaluateFunction error ... Dimensions of matrices being concatenated are not consistent. Error in => apclusterSparse.m at line 178.

Here is my code: (sorry?)

public static double[,] ReadSimilarities() { string line; string[] splittedLine; System.IO.StreamReader file = new System.IO.StreamReader("similarities.txt");

List<List<string>> values = new List<List<string>>();

List<string> lineValues;

while ((line = file.ReadLine()) != null) { splittedLine = line.Split(new string[] { " " }, StringSplitOptions.RemoveEmptyEntries); lineValues = new List<string>(splittedLine.Count());

for (int i = 0; i < splittedLine.Count(); i++) { lineValues.Add(splittedLine[i]); }

values.Add(lineValues); }

file.Close();

double[,] result = new double[values.Count, 3];

for (int i = 0; i < values.Count; i++) { result[i, 0] = Convert.ToDouble(values.ElementAt(i).ElementAt(0)); result[i, 1] = Convert.ToDouble(values.ElementAt(i).ElementAt(1)); result[i, 2] = Convert.ToDouble(values.ElementAt(i).ElementAt(2)); } return result; }

public static double[] ReadPreferences() { string line; System.IO.StreamReader file = new System.IO.StreamReader("preferences.txt"); List<string> values = new List<string>();

while ((line = file.ReadLine()) != null) { values.Add(line); }

double[] result = new double[values.Count]; for (int i = 0; i < values.Count; i++) { result[i] = Convert.ToDouble(values.ElementAt(i)); }

return result; }

public ActionResult Index() { ApClusterSparse apClusterSparse = new ApClusterSparse();

double[,] similarities = ReadSimilarities(); double[] preferences = ReadPreferences();

MWNumericArray matLabSimiliaritiesArray = new MWNumericArray(similarities); MWNumericArray matLabPreferencesArray = new MWNumericArray(preferences); MWArray argsOut;

try { argsOut = apClusterSparse.apclusterSparse(matLabSimiliaritiesArray, matLabPreferencesArray); } catch (Exception e) {

}

return View(); }