Package de.lmu.ifi.dbs.elki.database.datastore

Examples of de.lmu.ifi.dbs.elki.database.datastore.WritableRecordStore

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   */
  @SuppressWarnings("unchecked")
  public Result run(Database database, Relation<O> relation) {
    DistanceQuery<O, D> distQuery = database.getDistanceQuery(relation, getDistanceFunction());
    Class<D> distCls = (Class<D>) getDistanceFunction().getDistanceFactory().getClass();
    WritableRecordStore store = DataStoreUtil.makeRecordStorage(distQuery.getRelation().getDBIDs(), DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_STATIC, DBID.class, distCls);
    pi = store.getStorage(0, DBID.class);
    lambda = store.getStorage(1, distCls);
    // Temporary storage for m.
    WritableDataStore<D> m = DataStoreUtil.makeStorage(distQuery.getRelation().getDBIDs(), DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_TEMP, distCls);

    FiniteProgress progress = logger.isVerbose() ? new FiniteProgress("Clustering", distQuery.getRelation().size(), logger) : null;
    // has to be an array for monotonicity reasons!
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    if(progressPreproc != null) {
      progressPreproc.ensureCompleted(logger);
    }
    // LOCI main step
    FiniteProgress progressLOCI = logger.isVerbose() ? new FiniteProgress("LOCI scores", relation.size(), logger) : null;
    WritableRecordStore store = DataStoreUtil.makeRecordStorage(relation.getDBIDs(), DataStoreFactory.HINT_STATIC, Double.class, Double.class);
    WritableDataStore<Double> mdef_norm = store.getStorage(0, Double.class);
    WritableDataStore<Double> mdef_radius = store.getStorage(1, Double.class);
    for(DBID id : relation.iterDBIDs()) {
      double maxmdefnorm = 0.0;
      double maxnormr = 0;
      List<DoubleIntPair> cdist = interestingDistances.get(id);
      double maxdist = cdist.get(cdist.size() - 1).first;
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   */
  @SuppressWarnings("unchecked")
  public Result run(Database database, Relation<O> relation) {
    DistanceQuery<O, D> distQuery = database.getDistanceQuery(relation, getDistanceFunction());
    Class<D> distCls = (Class<D>) getDistanceFunction().getDistanceFactory().getClass();
    WritableRecordStore store = DataStoreUtil.makeRecordStorage(relation.getDBIDs(), DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_STATIC, DBID.class, distCls);
    pi = store.getStorage(0, DBID.class);
    lambda = store.getStorage(1, distCls);
    // Temporary storage for m.
    WritableDataStore<D> m = DataStoreUtil.makeStorage(relation.getDBIDs(), DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_TEMP, distCls);

    FiniteProgress progress = logger.isVerbose() ? new FiniteProgress("Clustering", relation.size(), logger) : null;
    // has to be an array for monotonicity reasons!
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Related Classes of de.lmu.ifi.dbs.elki.database.datastore.WritableRecordStore

  • de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK
  • de.lmu.ifi.dbs.elki.algorithm.outlier.LOCI
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