| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.subspace | 
 Subspace outlier detection methods. 
 | 
| 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.clustering | 
 Evaluation of clustering results. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.outlier | 
 Evaluate an outlier score using a misclassification based cost model. 
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| de.lmu.ifi.dbs.elki.math.geometry | 
 Algorithms from computational geometry. 
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| de.lmu.ifi.dbs.elki.result.textwriter.writers | 
 Serialization handlers for individual data types. 
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| Modifier and Type | Class and Description | 
|---|---|
static class  | 
SOD.SODModel<V extends NumberVector<?>>
SOD Model class 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
Cluster<M extends Model>
Generic cluster class, that may or not have hierarchical information. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
Bicluster<V extends FeatureVector<?>>
Wrapper class to provide the basic properties of a bicluster. 
 | 
class  | 
BiclusterWithInverted<V extends FeatureVector<?>>
This code was factored out of the Bicluster class, since not all biclusters
 have inverted rows. 
 | 
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<V extends FeatureVector<?>>
Cluster model of an EM cluster, providing a mean and a full covariance
 Matrix. 
 | 
class  | 
KMeansModel<V extends NumberVector<?>>
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<V extends FeatureVector<?>>
Cluster model that stores a mean for the cluster. 
 | 
class  | 
MedoidModel
Cluster model that stores a mean for the cluster. 
 | 
class  | 
SubspaceModel<V extends FeatureVector<?>>
Model for Subspace Clusters. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
static class  | 
EvaluateClustering.ScoreResult
Result object for outlier score judgements. 
 | 
| 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. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
XYCurve
An XYCurve is an ordered collection of 2d points, meant for chart generation. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
void | 
TextWriterTextWriteable.write(TextWriterStream out,
     String label,
     TextWriteable obj)
Use the objects own text serialization. 
 |