How implement Cobweb java weka API



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0















While implementing Cobweb clustering via weka java API, how to select attributes based on which clustering is to be performed. I have tried following line of code:



public String clustering(Instances data) 
try
Cobweb cw = new Cobweb();
cw.buildClusterer(data);

Instance current;
// while ((current = loader.getNextInstance(structure)) != null)
// cw.updateClusterer(current);
//

cw.updateFinished();

//Crear el objeto para la validacion del modelo con Clustering
ClusterEvaluation clusterEval = new ClusterEvaluation();

clusterEval.setClusterer(cw);

String resCluster = "<br><b><center>Resultados Cluster"
+ "</center><br>========<br>Modelo generado indica los "
+ "siguientes resultados:<br>========<br></b>";

resCluster = resCluster + ("<b>1. Agrupacion:</b> "
+ clusterEval.getNumClusters() + "<br>");

return resCluster;

catch (Exception e)
return "El error es" + e.getMessage();





but an error is generated and it says



weka.clusterers.Cobweb: Cannot handle any class attribute!



enter image description here










share|improve this question




























    0















    While implementing Cobweb clustering via weka java API, how to select attributes based on which clustering is to be performed. I have tried following line of code:



    public String clustering(Instances data) 
    try
    Cobweb cw = new Cobweb();
    cw.buildClusterer(data);

    Instance current;
    // while ((current = loader.getNextInstance(structure)) != null)
    // cw.updateClusterer(current);
    //

    cw.updateFinished();

    //Crear el objeto para la validacion del modelo con Clustering
    ClusterEvaluation clusterEval = new ClusterEvaluation();

    clusterEval.setClusterer(cw);

    String resCluster = "<br><b><center>Resultados Cluster"
    + "</center><br>========<br>Modelo generado indica los "
    + "siguientes resultados:<br>========<br></b>";

    resCluster = resCluster + ("<b>1. Agrupacion:</b> "
    + clusterEval.getNumClusters() + "<br>");

    return resCluster;

    catch (Exception e)
    return "El error es" + e.getMessage();





    but an error is generated and it says



    weka.clusterers.Cobweb: Cannot handle any class attribute!



    enter image description here










    share|improve this question
























      0












      0








      0








      While implementing Cobweb clustering via weka java API, how to select attributes based on which clustering is to be performed. I have tried following line of code:



      public String clustering(Instances data) 
      try
      Cobweb cw = new Cobweb();
      cw.buildClusterer(data);

      Instance current;
      // while ((current = loader.getNextInstance(structure)) != null)
      // cw.updateClusterer(current);
      //

      cw.updateFinished();

      //Crear el objeto para la validacion del modelo con Clustering
      ClusterEvaluation clusterEval = new ClusterEvaluation();

      clusterEval.setClusterer(cw);

      String resCluster = "<br><b><center>Resultados Cluster"
      + "</center><br>========<br>Modelo generado indica los "
      + "siguientes resultados:<br>========<br></b>";

      resCluster = resCluster + ("<b>1. Agrupacion:</b> "
      + clusterEval.getNumClusters() + "<br>");

      return resCluster;

      catch (Exception e)
      return "El error es" + e.getMessage();





      but an error is generated and it says



      weka.clusterers.Cobweb: Cannot handle any class attribute!



      enter image description here










      share|improve this question














      While implementing Cobweb clustering via weka java API, how to select attributes based on which clustering is to be performed. I have tried following line of code:



      public String clustering(Instances data) 
      try
      Cobweb cw = new Cobweb();
      cw.buildClusterer(data);

      Instance current;
      // while ((current = loader.getNextInstance(structure)) != null)
      // cw.updateClusterer(current);
      //

      cw.updateFinished();

      //Crear el objeto para la validacion del modelo con Clustering
      ClusterEvaluation clusterEval = new ClusterEvaluation();

      clusterEval.setClusterer(cw);

      String resCluster = "<br><b><center>Resultados Cluster"
      + "</center><br>========<br>Modelo generado indica los "
      + "siguientes resultados:<br>========<br></b>";

      resCluster = resCluster + ("<b>1. Agrupacion:</b> "
      + clusterEval.getNumClusters() + "<br>");

      return resCluster;

      catch (Exception e)
      return "El error es" + e.getMessage();





      but an error is generated and it says



      weka.clusterers.Cobweb: Cannot handle any class attribute!



      enter image description here







      java api weka






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 '18 at 2:20









      Sebastian SalazarSebastian Salazar

      157




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