|
public ClusterDataSet ( |
||
| clusters | A collection of data clusters | |
| data | double | An array containing data to b eclustered |
| 리턴 | ||
/// <summary>
/// Test the clustering of data in an Array
/// </summary>
private static void ClusterDataSetTestCase()
{
double[][] data = DataSample.GetDataSampleFromFile(10000, 25);
ClusterCollection clusters;
KMeansParallel kMeans = new KMeansParallel();
clusters = kMeans.ClusterDataSet(5, data);
//This line has been commented out. Uncomment it to serialize your object(s)
KMeansParallel.Serialize(clusters, @"kmeansparallelclusters.xml");
}
public string Apply(int k, string fn, string outImagePath)
{
Bitmap srcimg = new Bitmap(fn);
pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels, false);
int size = colorHist.getNumberOfColors();
if (size <= k)
srcimg.Save(outImagePath, ImageFormat.Png);
else
{
double[][] data = new double[size][];
getRGBData(colorHist, data);
ClusterCollection clusters;
KMeansParallel kMeans = new KMeansParallel();
clusters = kMeans.ClusterDataSet(k, data);
PaintRGB(srcimg, kMeans, clusters).Save(outImagePath, ImageFormat.Png);
}
return outImagePath;
}