Package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Examples of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

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      ListParameterization dishParameters = new ListParameterization();
      dishParameters.addParameter(DiSHDistanceFunction.EPSILON_ID, epsilon);
      dishParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, DiSHPreferenceVectorIndex.Factory.class);
      dishParameters.addParameter(DiSHPreferenceVectorIndex.Factory.EPSILON_ID, Double.toString(epsilon));
      dishParameters.addParameter(DiSHPreferenceVectorIndex.Factory.MINPTS_ID, minpts);
      ChainedParameterization dishchain = new ChainedParameterization(dishParameters, config);
      dishchain.errorsTo(config);

      dishDistance = dishchain.tryInstantiate(DiSHDistanceFunction.class);
    }
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      opticsParameters.addParameter(OPTICS.EPSILON_ID, AbstractDistance.INFINITY_PATTERN);
      opticsParameters.addParameter(OPTICS.MINPTS_ID, minpts);
      // Configure OPTICS. Untracked parameters
      ListParameterization opticsUntrackedParameters = new ListParameterization();
      opticsUntrackedParameters.addParameter(OPTICS.DISTANCE_FUNCTION_ID, dishDistance);
      ChainedParameterization optchain = new ChainedParameterization(opticsParameters, config);
      TrackParameters trackpar = new TrackParameters(optchain);

      ChainedParameterization optchain2 = new ChainedParameterization(opticsUntrackedParameters, trackpar);
      optchain2.errorsTo(config);

      // Instantiate OPTICS for parameterization
      optchain2.tryInstantiate(OPTICS.class);
      // store parameters
      opticsO = trackpar.getGivenParameters();
    }
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      opticsParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, KNNQueryFilteredPCAIndex.Factory.class);
      opticsParameters.addParameter(KNNQueryFilteredPCAIndex.Factory.K_ID, k);
      opticsParameters.addParameter(PercentageEigenPairFilter.ALPHA_ID, alpha);
      opticsParameters.addParameter(PCABasedCorrelationDistanceFunction.DELTA_ID, delta);

      ChainedParameterization chain = new ChainedParameterization(opticsParameters, config);
      chain.errorsTo(config);
      distance = chain.tryInstantiate(PCABasedCorrelationDistanceFunction.class);
    }
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      opticsParameters.addParameter(HiSCDistanceFunction.EPSILON_ID, alpha);
      // preprocessor
      opticsParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, HiSCPreferenceVectorIndex.Factory.class);
      opticsParameters.addParameter(HiSCPreferenceVectorIndex.Factory.ALPHA_ID, alpha);

      ChainedParameterization chain = new ChainedParameterization(opticsParameters, config);
      chain.errorsTo(config);
      Class<HiSCDistanceFunction<V>> cls = ClassGenericsUtil.uglyCastIntoSubclass(HiSCDistanceFunction.class);
      distanceFunction = chain.tryInstantiate(cls);
    }
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      ObjectParameter<FilteredLocalPCABasedDistanceFunction<V, ?, D>> pdistP = new ObjectParameter<FilteredLocalPCABasedDistanceFunction<V, ?, D>>(PARTITION_DISTANCE_ID, FilteredLocalPCABasedDistanceFunction.class, LocallyWeightedDistanceFunction.class);
      if(config.grab(pdistP)) {
        ListParameterization predefinedDist = new ListParameterization();
        predefinedDist.addParameter(IndexBasedDistanceFunction.INDEX_ID, indexI);
        ChainedParameterization chainDist = new ChainedParameterization(predefinedDist, config);
        chainDist.errorsTo(config);
        pdistI = pdistP.instantiateClass(chainDist);
        predefinedDist.reportInternalParameterizationErrors(config);
      }

      // Parameterize algorithm:
      ClassParameter<ClusteringAlgorithm<Clustering<Model>>> algP = new ClassParameter<ClusteringAlgorithm<Clustering<Model>>>(PARTITION_ALGORITHM_ID, ClusteringAlgorithm.class);
      if(config.grab(algP)) {
        ListParameterization predefined = new ListParameterization();
        predefined.addParameter(AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID, pdistI);
        TrackParameters trackpar = new TrackParameters(config);
        ChainedParameterization chain = new ChainedParameterization(predefined, trackpar);
        chain.errorsTo(config);
        algP.instantiateClass(chain);
        algC = algP.getValue();
        algO = trackpar.getGivenParameters();
        predefined.reportInternalParameterizationErrors(chain);
      }
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        // distanceFunctionParameters.addFlag(PreprocessorHandler.OMIT_PREPROCESSING_ID);
        distanceFunctionParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, preprocessorClass);
        distanceFunctionParameters.addParameter(AbstractProjectedDBSCAN.INNER_DISTANCE_FUNCTION_ID, innerdist);
        distanceFunctionParameters.addParameter(AbstractProjectedDBSCAN.EPSILON_ID, epsilon);
        distanceFunctionParameters.addParameter(AbstractProjectedDBSCAN.MINPTS_ID, minpts);
        ChainedParameterization combinedConfig = new ChainedParameterization(distanceFunctionParameters, config);
        combinedConfig.errorsTo(config);
        outerdist = outerdistP.instantiateClass(combinedConfig);
      }
    }
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      opticsParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, KNNQueryFilteredPCAIndex.Factory.class);
      opticsParameters.addParameter(KNNQueryFilteredPCAIndex.Factory.K_ID, k);
      opticsParameters.addParameter(PercentageEigenPairFilter.ALPHA_ID, alpha);
      opticsParameters.addParameter(PCABasedCorrelationDistanceFunction.DELTA_ID, delta);

      ChainedParameterization chain = new ChainedParameterization(opticsParameters, config);
      chain.errorsTo(config);
      distance = chain.tryInstantiate(PCABasedCorrelationDistanceFunction.class);
    }
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      ObjectParameter<FilteredLocalPCABasedDistanceFunction<V, ?, D>> pdistP = new ObjectParameter<FilteredLocalPCABasedDistanceFunction<V, ?, D>>(PARTITION_DISTANCE_ID, FilteredLocalPCABasedDistanceFunction.class, LocallyWeightedDistanceFunction.class);
      if(config.grab(pdistP)) {
        ListParameterization predefinedDist = new ListParameterization();
        predefinedDist.addParameter(IndexBasedDistanceFunction.INDEX_ID, indexI);
        ChainedParameterization chainDist = new ChainedParameterization(predefinedDist, config);
        chainDist.errorsTo(config);
        pdistI = pdistP.instantiateClass(chainDist);
        predefinedDist.reportInternalParameterizationErrors(config);
      }

      // Parameterize algorithm:
      ClassParameter<ClusteringAlgorithm<Clustering<Model>>> algP = new ClassParameter<ClusteringAlgorithm<Clustering<Model>>>(PARTITION_ALGORITHM_ID, ClusteringAlgorithm.class);
      if(config.grab(algP)) {
        ListParameterization predefined = new ListParameterization();
        predefined.addParameter(AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID, pdistI);
        TrackParameters trackpar = new TrackParameters(config);
        ChainedParameterization chain = new ChainedParameterization(predefined, trackpar);
        chain.errorsTo(config);
        algP.instantiateClass(chain);
        algC = algP.getValue();
        algO = trackpar.getGivenParameters();
        predefined.reportInternalParameterizationErrors(chain);
      }
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      ListParameterization dishParameters = new ListParameterization();
      dishParameters.addParameter(DiSHDistanceFunction.EPSILON_ID, epsilon);
      dishParameters.addParameter(IndexBasedDistanceFunction.INDEX_ID, DiSHPreferenceVectorIndex.Factory.class);
      dishParameters.addParameter(DiSHPreferenceVectorIndex.Factory.EPSILON_ID, Double.toString(epsilon));
      dishParameters.addParameter(DiSHPreferenceVectorIndex.Factory.MINPTS_ID, minpts);
      ChainedParameterization dishchain = new ChainedParameterization(dishParameters, config);
      dishchain.errorsTo(config);

      dishDistance = dishchain.tryInstantiate(DiSHDistanceFunction.class);
    }
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      opticsParameters.addParameter(OPTICS.EPSILON_ID, AbstractDistance.INFINITY_PATTERN);
      opticsParameters.addParameter(OPTICS.MINPTS_ID, minpts);
      // Configure OPTICS. Untracked parameters
      ListParameterization opticsUntrackedParameters = new ListParameterization();
      opticsUntrackedParameters.addParameter(OPTICS.DISTANCE_FUNCTION_ID, dishDistance);
      ChainedParameterization optchain = new ChainedParameterization(opticsParameters, config);
      TrackParameters trackpar = new TrackParameters(optchain);

      ChainedParameterization optchain2 = new ChainedParameterization(opticsUntrackedParameters, trackpar);
      optchain2.errorsTo(config);

      // Instantiate OPTICS for parameterization
      optchain2.tryInstantiate(OPTICS.class);
      // store parameters
      opticsO = trackpar.getGivenParameters();
    }
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Related Classes of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

  • de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH$Parameterizer
  • de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC$Parameterizer
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