Examples of de.lmu.ifi.dbs.elki.result.BasicResult

de.lmu.ifi.dbs.elki.result.BasicResult
Basic class for a result. Much like AbstractHierarchicalResult, except it stores the required short and long result names. @author Erich Schubert @apiviz.landmark

    // We don't need m anymore.
    m.destroy();
    m = null;


    // build dendrogram
    BasicResult result = null;


    // Build clusters identified by their target object
    int minc = minclusters != null ? minclusters : distQuery.getRelation().size();
    result = extractClusters(distQuery.getRelation().getDBIDs(), pi, lambda, minc);


    result.addChildResult(new MaterializedRelation<DBID>("SLINK pi", "slink-order", TypeUtil.DBID, pi, processedIDs));
    result.addChildResult(new MaterializedRelation<D>("SLINK lambda", "slink-order", new SimpleTypeInformation<D>(distCls), lambda, processedIDs));
    result.addChildResult(new OrderingFromDataStore<D>("SLINK order", "slink-order", processedIDs, lambda));
    return result;
  }

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   * 
   * @param database Database
   * @return Algorithm result
   */
  public HierarchicalResult runAlgorithms(Database database) {
    result = new BasicResult("Algorithm Step", "main");
    result.addChildResult(database);
    if(logger.isVerbose() && database.getIndexes().size() > 0) {
      StringBuffer buf = new StringBuffer();
      buf.append("Index statistics before running algorithms:").append(FormatUtil.NEWLINE);
      for(Index idx : database.getIndexes()) {

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   * 
   * @param database Database
   * @return Algorithm result
   */
  public HierarchicalResult runAlgorithms(Database database) {
    result = new BasicResult("Algorithm Step", "main");
    result.addChildResult(database);
    if(logger.isVerbose() && database.getIndexes().size() > 0) {
      StringBuffer buf = new StringBuffer();
      buf.append("Index statistics before running algorithms:").append(FormatUtil.NEWLINE);
      for(Index idx : database.getIndexes()) {

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    // We don't need m anymore.
    m.destroy();
    m = null;


    // build dendrogram
    BasicResult result = null;


    // Build clusters identified by their target object
    int minc = minclusters != null ? minclusters : relation.size();
    result = extractClusters(relation.getDBIDs(), pi, lambda, minc);


    result.addChildResult(new MaterializedRelation<DBID>("SLINK pi", "slink-order", TypeUtil.DBID, pi, processedIDs));
    result.addChildResult(new MaterializedRelation<D>("SLINK lambda", "slink-order", new SimpleTypeInformation<D>(distCls), lambda, processedIDs));
    result.addChildResult(new OrderingFromDataStore<D>("SLINK order", "slink-order", processedIDs, lambda));
    return result;
  }

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Related Classes of de.lmu.ifi.dbs.elki.result.BasicResult

de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

de.lmu.ifi.dbs.elki.workflow.AlgorithmStep

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