Uses of Interface
de.lmu.ifi.dbs.elki.result.ResultProcessor

Packages that use ResultProcessor

Package	Description
de.lmu.ifi.dbs.elki.application.jsmap	JavaScript based map client - server architecture.
de.lmu.ifi.dbs.elki.evaluation	Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.clustering.extractor	Classes to extract clusterings from hierarchical clustering.
de.lmu.ifi.dbs.elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments	Pair-segment analysis of multiple clusterings.
de.lmu.ifi.dbs.elki.evaluation.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.index	Simple index evaluation methods
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.application.jsmap

Classes in de.lmu.ifi.dbs.elki.application.jsmap that implement ResultProcessor

Modifier and Type	Class and Description
class	JSONResultHandler Handle results by serving them via a web server to mapping applications.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation

Subinterfaces of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation

Modifier and Type	Interface and Description
interface	Evaluator Interface for post-algorithm evaluations, such as histograms, outlier score evaluations, ...

Classes in de.lmu.ifi.dbs.elki.evaluation that implement ResultProcessor

Modifier and Type	Class and Description
class	AutomaticEvaluation Evaluator that tries to auto-run a number of evaluation methods.
class	NoAutomaticEvaluation No-operation evaluator, that only serves the purpose of explicitely disabling the default value of AutomaticEvaluation, if you do not want evaluation to run.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.clustering

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering that implement ResultProcessor

Modifier and Type	Class and Description
class	EvaluateClustering Evaluate a clustering result by comparing it to an existing cluster label.
class	LogClusterSizes This class will log simple statistics on the clusters detected, such as the cluster sizes and the number of clusters.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor that implement ResultProcessor

Modifier and Type	Class and Description
class	ExtractFlatClusteringFromHierarchyEvaluator Extract clusters from a hierarchical clustering, during the evaluation phase.
class	HDBSCANHierarchyExtractionEvaluator Extract clusters from a hierarchical clustering, during the evaluation phase.
class	SimplifiedHierarchyExtractionEvaluator Extract clusters from a hierarchical clustering, during the evaluation phase.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.clustering.internal

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering.internal that implement ResultProcessor

Modifier and Type	Class and Description
class	EvaluateCIndex<O> Compute the C-index of a data set.
class	EvaluateConcordantPairs<O> Compute the Gamma Criterion of a data set.
class	EvaluateDaviesBouldin Compute the Davies-Bouldin index of a data set.
class	EvaluatePBMIndex Compute the PBM of a data set Reference: M.
class	EvaluateSilhouette<O> Compute the silhouette of a data set.
class	EvaluateSimplifiedSilhouette Compute the simplified silhouette of a data set.
class	EvaluateSquaredErrors Evaluate a clustering by reporting the squared errors (SSE, SSQ), as used by k-means.
class	EvaluateVarianceRatioCriteria<O> Compute the Variance Ratio Criteria of a data set.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments that implement ResultProcessor

Modifier and Type	Class and Description
class	ClusterPairSegmentAnalysis Evaluate clustering results by building segments for their pairs: shared pairs and differences.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.histogram

Classes in de.lmu.ifi.dbs.elki.evaluation.histogram that implement ResultProcessor

Modifier and Type	Class and Description
class	ComputeOutlierHistogram Compute a Histogram to evaluate a ranking algorithm.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.index

Classes in de.lmu.ifi.dbs.elki.evaluation.index that implement ResultProcessor

Modifier and Type	Class and Description
class	IndexPurity Compute the purity of index pages as a naive measure for performance capabilities using the Gini index.
class	IndexStatistics Simple index analytics, which includes the toString() dump of index information.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.outlier

Classes in de.lmu.ifi.dbs.elki.evaluation.outlier that implement ResultProcessor

Modifier and Type	Class and Description
class	JudgeOutlierScores Compute a Histogram to evaluate a ranking algorithm.
class	OutlierPrecisionAtKCurve Compute a curve containing the precision values for an outlier detection method.
class	OutlierPrecisionRecallCurve Compute a curve containing the precision values for an outlier detection method.
class	OutlierRankingEvaluation Evaluate outlier scores by their ranking
class	OutlierROCCurve Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.
class	OutlierSmROCCurve Smooth ROC curves are a variation of classic ROC curves that takes the scores into account.
class	OutlierThresholdClustering Pseudo clustering algorithm that builds clusters based on their outlier score.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix

Classes in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix that implement ResultProcessor

Modifier and Type	Class and Description
class	ComputeSimilarityMatrixImage<O> Compute a similarity matrix for a distance function.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.result

Subinterfaces of ResultProcessor in de.lmu.ifi.dbs.elki.result

Modifier and Type	Interface and Description
interface	ResultHandler Interface for any class that can handle results

Classes in de.lmu.ifi.dbs.elki.result that implement ResultProcessor

Modifier and Type	Class and Description
class	ClusteringVectorDumper Class to output a clustering result in a simple and compact ascii format: whitespace separated cluster indexes This format can be read using ClusteringVectorParser for meta analysis, or read as clustering using ExternalClustering.
class	DiscardResultHandler A dummy result handler that discards the actual result, for use in benchmarks.
class	KMLOutputHandler Class to handle KML output.
class	LogResultStructureResultHandler A result handler to help with ELKI development that will just show the structure of the result object.
class	ResultWriter Result handler that feeds the data into a TextWriter.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.visualization

Classes in de.lmu.ifi.dbs.elki.visualization that implement ResultProcessor

Modifier and Type	Class and Description
class	ExportVisualizations Class that automatically generates all visualizations and exports them into SVG files.

Uses of ResultProcessor in de.lmu.ifi.dbs.elki.visualization.gui

Classes in de.lmu.ifi.dbs.elki.visualization.gui that implement ResultProcessor

Modifier and Type	Class and Description
class	ResultVisualizer Handler to process and visualize a Result.