Uses of Interface
de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable

Packages that use TextWriteable

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain	Clustering algorithms for uncertain data.
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.evaluation.classification	Evaluation of classification algorithms.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.math.geometry	Algorithms from computational geometry.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.result.textwriter.writers	Serialization handlers for individual data types.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.algorithm

Classes in de.lmu.ifi.dbs.elki.algorithm that implement TextWriteable

Modifier and Type	Class and Description
static class	KNNDistancesSampler.KNNDistanceOrderResult Curve result for a list containing the knn distances.
static class	MaterializeDistances.DistanceEntry Object representing a pairwise distance.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain that implement TextWriteable

Modifier and Type	Class and Description
static class	RepresentativeUncertainClustering.RepresentativenessEvaluation Representativeness evaluation result.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace that implement TextWriteable

Modifier and Type	Class and Description
static class	SOD.SODModel SOD Model class

Uses of TextWriteable in de.lmu.ifi.dbs.elki.algorithm.statistics

Classes in de.lmu.ifi.dbs.elki.algorithm.statistics that implement TextWriteable

Modifier and Type	Class and Description
static class	EvaluateRetrievalPerformance.RetrievalPerformanceResult Result object for MAP scores.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.data

Classes in de.lmu.ifi.dbs.elki.data that implement TextWriteable

Modifier and Type	Class and Description
class	Cluster<M extends Model> Generic cluster class, that may or not have hierarchical information.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.data.model

Classes in de.lmu.ifi.dbs.elki.data.model that implement TextWriteable

Modifier and Type	Class and Description
class	CoreObjectsModel Cluster model using "core" objects.
class	CorrelationAnalysisSolution<V extends NumberVector> A solution of correlation analysis is a matrix of equations describing the dependencies.
class	CorrelationModel<V extends FeatureVector<?>> Cluster model using a filtered PCA result and an centroid.
class	DimensionModel Cluster model just providing a cluster dimensionality.
class	EMModel Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
class	KMeansModel Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
class	LinearEquationModel Cluster model containing a linear equation system for the cluster.
class	MeanModel Cluster model that stores a mean for the cluster.
class	MedoidModel Cluster model that stores a mean for the cluster.
class	PrototypeModel<V> Cluster model that stores a prototype for each cluster.
class	SubspaceModel Model for Subspace Clusters.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.evaluation.classification

Classes in de.lmu.ifi.dbs.elki.evaluation.classification that implement TextWriteable

Modifier and Type	Class and Description
class	ConfusionMatrixEvaluationResult Provides the prediction performance measures for a classifier based on the confusion matrix.

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

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

Modifier and Type	Class and Description
static class	EvaluateClustering.ScoreResult Result object for outlier score judgements.

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

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

Modifier and Type	Class and Description
static class	OutlierPrecisionAtKCurve.PrecisionAtKCurve Precision at K curve.
static class	OutlierPrecisionRecallCurve.PRCurve P/R Curve
static class	OutlierROCCurve.ROCResult Result object for ROC curves.
static class	OutlierSmROCCurve.SmROCResult Result object for Smooth ROC curves.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.math.geometry

Classes in de.lmu.ifi.dbs.elki.math.geometry that implement TextWriteable

Modifier and Type	Class and Description
class	XYCurve An XYCurve is an ordered collection of 2d points, meant for chart generation.

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

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

Modifier and Type	Class and Description
class	EvaluationResult Abstract evaluation result.
class	FrequentItemsetsResult Result class for Apriori Algorithm.

Uses of TextWriteable in de.lmu.ifi.dbs.elki.result.textwriter.writers

Methods in de.lmu.ifi.dbs.elki.result.textwriter.writers with parameters of type TextWriteable

Modifier and Type	Method and Description
void	TextWriterTextWriteable.write(TextWriterStream out, String label, TextWriteable obj) Use the objects own text serialization.