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Packages that use DoubleVector | |
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de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | Correlation clustering algorithms |
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.parser | Parsers for different file formats and data types. |
de.lmu.ifi.dbs.elki.parser.meta | MetaParsers for different file formats and data types. |
de.lmu.ifi.dbs.elki.utilities | Utility and helper classes - commonly used data structures, output formatting, exceptions, ... |
de.lmu.ifi.dbs.elki.visualization.scales | Scales handling for plotting. |
Uses of DoubleVector in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
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Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return types with arguments of type DoubleVector | |
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private Database<DoubleVector> |
CASH.buildDerivatorDB(Database<ParameterizationFunction> database,
CASHInterval interval)
Builds a database for the derivator consisting of the ids in the specified interval. |
private Database<DoubleVector> |
CASH.buildDerivatorDB(Database<ParameterizationFunction> database,
Set<Integer> ids)
Builds a database for the derivator consisting of the ids in the specified interval. |
Uses of DoubleVector in de.lmu.ifi.dbs.elki.algorithm.statistics |
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Fields in de.lmu.ifi.dbs.elki.algorithm.statistics with type parameters of type DoubleVector | |
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private CollectionResult<DoubleVector> |
EvaluateRankingQuality.result
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private CollectionResult<DoubleVector> |
RankingQualityHistogram.result
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private CollectionResult<DoubleVector> |
DistanceStatisticsWithClasses.result
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Methods in de.lmu.ifi.dbs.elki.algorithm.statistics that return types with arguments of type DoubleVector | |
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CollectionResult<DoubleVector> |
EvaluateRankingQuality.getResult()
Return a result object |
CollectionResult<DoubleVector> |
RankingQualityHistogram.getResult()
Return a result object |
CollectionResult<DoubleVector> |
DistanceStatisticsWithClasses.getResult()
Return a result object |
protected CollectionResult<DoubleVector> |
EvaluateRankingQuality.runInTime(Database<V> database)
Run the algorithm. |
protected CollectionResult<DoubleVector> |
RankingQualityHistogram.runInTime(Database<V> database)
Run the algorithm. |
protected CollectionResult<DoubleVector> |
DistanceStatisticsWithClasses.runInTime(Database<V> database)
Iterates over all points in the database. |
Uses of DoubleVector in de.lmu.ifi.dbs.elki.data |
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Subclasses of DoubleVector in de.lmu.ifi.dbs.elki.data | |
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class |
ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p. |
Methods in de.lmu.ifi.dbs.elki.data that return DoubleVector | |
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DoubleVector |
DoubleVector.multiplicate(double k)
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DoubleVector |
DoubleVector.negativeVector()
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DoubleVector |
DoubleVector.newInstance(double[] values)
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DoubleVector |
ParameterizationFunction.newInstance(double[] values)
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DoubleVector |
DoubleVector.newInstance(Double[] values)
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DoubleVector |
DoubleVector.newInstance(List<Double> values)
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DoubleVector |
DoubleVector.nullVector()
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DoubleVector |
DoubleVector.plus(DoubleVector fv)
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DoubleVector |
DoubleVector.randomInstance(Double min,
Double max,
Random random)
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DoubleVector |
DoubleVector.randomInstance(DoubleVector min,
DoubleVector max,
Random random)
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DoubleVector |
DoubleVector.randomInstance(Random random)
Returns a new DoubleVector with random values between 0 and 1. |
Methods in de.lmu.ifi.dbs.elki.data with parameters of type DoubleVector | |
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DoubleVector |
DoubleVector.plus(DoubleVector fv)
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DoubleVector |
DoubleVector.randomInstance(DoubleVector min,
DoubleVector max,
Random random)
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Uses of DoubleVector in de.lmu.ifi.dbs.elki.parser |
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Methods in de.lmu.ifi.dbs.elki.parser that return DoubleVector | |
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DoubleVector |
DoubleVectorLabelParser.createDBObject(List<Double> attributes)
Creates a DoubleVector out of the given attribute values. |
Methods in de.lmu.ifi.dbs.elki.parser that return types with arguments of type DoubleVector | |
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ParsingResult<DoubleVector> |
DoubleVectorLabelTransposingParser.parse(InputStream in)
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Uses of DoubleVector in de.lmu.ifi.dbs.elki.parser.meta |
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Methods in de.lmu.ifi.dbs.elki.parser.meta that return types with arguments of type DoubleVector | |
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ParsingResult<DoubleVector> |
DoubleVectorRandomProjectionParser.parse(InputStream in)
Returns as ParsingResult a projection on a randomly selected subset of attributes. |
ParsingResult<DoubleVector> |
DoubleVectorProjectionParser.parse(InputStream in)
Returns as ParsingResult a projection on a selected subset of attributes. |
Uses of DoubleVector in de.lmu.ifi.dbs.elki.utilities |
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Methods in de.lmu.ifi.dbs.elki.utilities that return DoubleVector | |
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static DoubleVector |
Util.project(DoubleVector v,
BitSet selectedAttributes)
Provides a new DoubleVector as a projection on the specified attributes. |
Methods in de.lmu.ifi.dbs.elki.utilities with parameters of type DoubleVector | |
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static DoubleVector |
Util.project(DoubleVector v,
BitSet selectedAttributes)
Provides a new DoubleVector as a projection on the specified attributes. |
Uses of DoubleVector in de.lmu.ifi.dbs.elki.visualization.scales |
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Methods in de.lmu.ifi.dbs.elki.visualization.scales with type parameters of type DoubleVector | ||
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static
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Scales.calcScales(Database<O> db)
Compute a linear scale for each dimension. |
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