| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
| 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.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.result |
Result types, representation and handling
|
| Modifier and Type | Method and Description |
|---|---|
CollectionResult<CTriple<DBID,DBID,Double>> |
MaterializeDistances.run(Database database,
Relation<O> relation)
Iterates over all points in the database.
|
| Modifier and Type | Method and Description |
|---|---|
CollectionResult<DoubleVector> |
AveragePrecisionAtK.run(Database database,
Relation<V> relation,
Relation<ClassLabel> lrelation)
Run the algorithm
|
| Modifier and Type | Class and Description |
|---|---|
class |
IndexStatistics.IndexMetaResult
Result class.
|
| Modifier and Type | Class and Description |
|---|---|
class |
JudgeOutlierScores.ScoreResult
Result object for outlier score judgements.
|
| Modifier and Type | Class and Description |
|---|---|
class |
HistogramResult<O>
Histogram result.
|
class |
ReferencePointsResult<O>
Result used in passing the reference points to the visualizers.
|
| Modifier and Type | Method and Description |
|---|---|
static List<CollectionResult<?>> |
ResultUtil.getCollectionResults(Result r)
Collect all collection results from a Result
|