Add Import of clustering from KMeans

src/mustic/gui/ImageSession.java

@@ -66,7 +66,7 @@ public class ImageSession {
 	public SSHParameters	          	sshparameters	  	= null;
 	
 	/** enable the image to display the image or not, for a memory usage matter */
-	private boolean						displayEnable		= false;
+	private boolean						displayEnable		= true;
 
 	/**
 	 * @param aImage

src/mustic/gui/panels/classifier/messages_en.properties

@@ -23,9 +23,13 @@ ClassifierPanel.105=error\! class:ClassifierPanel, method:getParameters
 ClassifierPanel.106=INFO: AHC Selected
 ClassifierPanel.107=ERROR: Vous avez selectionne une methode qui n'est pas dans jComboBoxMethods
 ClassifierPanel.108=error\! class:ClassifierPanel, method:getParameters
+ClassifierPanel.1041=You must select an ARFF file.
+ClassifierPanel.1042=Warning
 ClassifierPanel.11=Classifier parameters
 ClassifierPanel.110=Select a data
 ClassifierPanel.111=Error
+ClassifierPanel.112=Open
+ClassifierPanel.113=Browse
 ClassifierPanel.117=Select a data
 ClassifierPanel.118=Error
 ClassifierPanel.12=Attributes selection and weigths configuration

src/mustic/gui/panels/classifier/messages_fr.properties

@@ -19,16 +19,20 @@ ClassifierPanel.100=Learning agents ne doit pas etre vide
 ClassifierPanel.101=sequence...
 ClassifierPanel.102=other...
 ClassifierPanel.103=Erreur
+ClassifierPanel.1041=Vous devez choisir un fichier ARFF.
+ClassifierPanel.1042=Attention
 ClassifierPanel.105=error\! class:ClassifierPanel, method:getParameters
 ClassifierPanel.106=INFO: AHC Selected
 ClassifierPanel.107=ERROR: Vous avez selectionne une methode qui n'est pas dans jComboBoxMethods
 ClassifierPanel.108=error\! class:ClassifierPanel, method:getParameters
-ClassifierPanel.11=Classifier parameters
-ClassifierPanel.110=Select a data
-ClassifierPanel.111=Error
-ClassifierPanel.117=Select a data
-ClassifierPanel.118=Error
-ClassifierPanel.12=Attributes selection and weigths configuration
+ClassifierPanel.11=Parametres de classification
+ClassifierPanel.110=Selectionner une donne
+ClassifierPanel.111=Erreur
+ClassifierPanel.112=Ouvrir
+ClassifierPanel.113=Ouvrir
+ClassifierPanel.117=Selectionner une donne
+ClassifierPanel.118=Erreur
+ClassifierPanel.12=Selection des attributs et configuration des poids
 ClassifierPanel.121=segmentation
 ClassifierPanel.13=L'image initiale n'est pas modifiee,
 ClassifierPanel.135=segmentation
@@ -36,20 +40,20 @@ ClassifierPanel.14=seule la donnee intermediaire utilisee
 ClassifierPanel.15=dans ce clustering est modifiee.
 ClassifierPanel.16=Attribute Selection
 ClassifierPanel.17=Seeds Selection
-ClassifierPanel.174=Select a data
-ClassifierPanel.175=Error
+ClassifierPanel.174=Selectionner une donne
+ClassifierPanel.175=Erreur
 ClassifierPanel.18=sequence...
 ClassifierPanel.19=sequence...
-ClassifierPanel.2=Use preselected seeds
-ClassifierPanel.20=Sequence options
-ClassifierPanel.209=Open Parameters
-ClassifierPanel.21=About the method...
-ClassifierPanel.215=Unknown file format
-ClassifierPanel.216=Warning
-ClassifierPanel.217=Parameters not open \! 
-ClassifierPanel.218=ERROR
-ClassifierPanel.219=Save Agents
-ClassifierPanel.22=Computation
+ClassifierPanel.2=Utiliser les graines preselctionnees
+ClassifierPanel.20=Option de la sequence
+ClassifierPanel.209=Ouvrir les parameters
+ClassifierPanel.21=A propos de la methode ...
+ClassifierPanel.215=Format de fichier inconnu
+ClassifierPanel.216=Attention
+ClassifierPanel.217=Parametres non ouverts \! 
+ClassifierPanel.218=ERREUR
+ClassifierPanel.219=Sauvegarder les agents
+ClassifierPanel.22=Calcul
 ClassifierPanel.222=The file already exists \!
 ClassifierPanel.223=\nErase the file ?
 ClassifierPanel.224=Unable to save the parameters

src/mustic/utils/io/WriteDistancesPath.java

@@ -32,18 +32,18 @@ public class WriteDistancesPath {
 			System.out.println("\t===> i =  " + i);
 			int j= 0;
 			Iterator<DataObject> dataObjectIter_j = data.iterator(i+1, data.getNbObjects());
+			String line = "";
 			while(dataObjectIter_j.hasNext()) {
 				//System.out.println("\t\t  " + i + " ===> j =  " + (i+1+j));
 				dataObject2 = dataObjectIter_j.next();
 				//distance = DistanceDTWMD.getInstance().compute(attMultiDimSequence1, attMultiDimSequence2, parameterDTW);
 				distance = dataObject1.distance(dataObject2);
-				writer.print(distance);
-				if (j + 1 < data.getNbObjects())
-					writer.print(",");
-				else
-					writer.println();
+				line += (distance);
+				if (dataObjectIter_j.hasNext())
+					line += ",";
 				j++;
 			}
+			writer.println(line);
 			i++;
 		}
 		writer.flush();

src/mustic/utils/io/dataExchange/DataArffExchange.java

@@ -151,6 +151,88 @@ public class DataArffExchange {
 		return result;		
 	}
 	
+	/**
+	 * Return a set of DataObjects that is stored in an arff file.
+	 * 
+	 * @param path
+	 * 			the path of the arff file
+	 * @return the set of DataObjects
+	 */
+	public static List<DataObject> arffToDataObjects(String path) {
+		System.out.println("__________________________________________________________________________________________\n"); //$NON-NLS-1$
+		System.out.println("Read \""+path+"\" to extract centroids "); //$NON-NLS-1$
+		System.out.println("__________________________________________________________________________________________"); //$NON-NLS-1$
+		
+		List<DataObject> dataObjects = new ArrayList<DataObject>();
+		try {
+			BufferedReader reader = new BufferedReader(new FileReader(new File(path)));
+			ArffReader arff = new ArffReader(reader, 1000);			
+			Instances data = arff.getStructure();
+			data.setClassIndex(0);
+			
+			Instance inst;
+			while ((inst = arff.readInstance(data)) != null) {
+				DataObject obj = new DataObject(inst.numAttributes());				
+				// the first attribute is ignored because it is the index
+				for(int i = 0 ; i < inst.numAttributes() ; i++) {
+					obj.setAttribute(i, getAttribute(inst, i));
+				}				
+				dataObjects.add(obj);
+			}
+			
+			reader.close();
+		} catch (IOException e) {
+			e.printStackTrace();
+		}
+
+		return dataObjects;		
+	}
+	
+	/**
+	 * Return a set of DataObjects that is stored in an arff file.
+	 * 
+	 * @param path
+	 * 			the path of the arff file
+	 * @return the set of DataObjects
+	 */
+	public static int[][] arffToClusteredIndexes(String path) {
+		System.out.println("__________________________________________________________________________________________\n"); //$NON-NLS-1$
+		System.out.println("Read \""+path+"\" to extract clustering "); //$NON-NLS-1$
+		System.out.println("__________________________________________________________________________________________"); //$NON-NLS-1$
+		
+		int[][] result = null;
+		try {
+			BufferedReader reader = new BufferedReader(new FileReader(new File(path)));
+			ArffReader arff = new ArffReader(reader, 1000);			
+			Instances data = arff.getStructure();
+			data.setClassIndex(0);
+			List<List<Integer>> instances = new ArrayList<List<Integer>>();
+			
+			// we don't know the size of the data a priori
+			// so we first need to write in a List Object
+			Instance inst;
+			while ((inst = arff.readInstance(data)) != null) {
+				List<Integer> couple = new ArrayList<Integer>();
+				couple.add((int) inst.value(0));
+				couple.add((int) inst.value(1));
+				instances.add(couple);
+			}
+			
+			// then we transfer it to an array
+			result = new int[instances.size()][2];
+			
+			for (int i = 0 ; i < instances.size() ; i++) {
+				result[i][0] = instances.get(i).get(0);
+				result[i][1] = instances.get(i).get(1);
+			}
+			
+			reader.close();
+		} catch (IOException e) {
+			e.printStackTrace();
+		}
+
+		return result;		
+	}
 
 	private static jcl.data.attribute.Attribute getAttribute(Instance inst, int index) {
 		switch(inst.attribute(index).type()) {