Package | Description |
---|---|
de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
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de.lmu.ifi.dbs.elki.datasource.filter.cleaning |
Filters for data cleaning.
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de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
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de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise |
Instancewise normalization, where each instance is normalized independently.
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de.lmu.ifi.dbs.elki.datasource.filter.selection |
Filters for selecting and sorting data to process.
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de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
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de.lmu.ifi.dbs.elki.datasource.filter.typeconversions |
Filters to perform data type conversions.
|
Modifier and Type | Class and Description |
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class |
AbstractStreamConversionFilter<I,O>
Abstract base class for simple conversion filters such as normalizations and
projections.
|
class |
AbstractStreamFilter
Abstract base class for streaming filters.
|
class |
AbstractVectorStreamConversionFilter<I,O extends NumberVector>
Abstract base class for streaming filters that produce vectors.
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class |
NoOpFilter
Dummy filter that doesn't do any filtering.
|
Modifier and Type | Class and Description |
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class |
DropNaNFilter
A filter to drop all records that contain NaN values.
|
class |
NoMissingValuesFilter
A filter to remove entries that have missing values.
|
class |
ReplaceNaNWithRandomFilter
A filter to replace all NaN values.
|
class |
VectorDimensionalityFilter<V extends NumberVector>
Filter to remove all vectors that do not have the desired dimensionality.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractStreamNormalization<V extends NumberVector>
Abstract super class for all normalizations.
|
Modifier and Type | Class and Description |
---|---|
class |
HellingerHistogramNormalization<V extends NumberVector>
Normalize histograms by scaling them to L1 norm 1, then taking the square
root in each attribute.
|
class |
InstanceLogRankNormalization<V extends NumberVector>
Normalize vectors such that the smallest value of each instance is 0, the
largest is 1, but using log_2(1+x).
|
class |
InstanceMeanVarianceNormalization<V extends NumberVector>
Normalize vectors such that they have zero mean and unit variance.
|
class |
InstanceMinMaxNormalization<V extends NumberVector>
Normalize vectors such that the smallest attribute is 0, the largest is 1.
|
class |
InstanceRankNormalization<V extends NumberVector>
Normalize vectors such that the smallest value of each instance is 0, the
largest is 1.
|
class |
LengthNormalization<V extends NumberVector>
Class to perform a normalization on vectors to norm 1.
|
class |
Log1PlusNormalization<V extends NumberVector>
Normalize the data set by applying log(1+|x|*b)/log(b+1) to any value.
|
Modifier and Type | Class and Description |
---|---|
class |
ByLabelFilter
A filter to select data set by their label.
|
class |
RandomSamplingStreamFilter
Subsampling stream filter.
|
Modifier and Type | Class and Description |
---|---|
class |
HistogramJitterFilter<V extends NumberVector>
Add Jitter, preserving the histogram properties (same sum, nonnegative).
|
class |
LatLngToECEFFilter<V extends NumberVector>
Project a 2D data set (latitude, longitude) to a 3D coordinate system (X, Y,
Z), such that Euclidean distance is line-of-sight.
|
class |
LngLatToECEFFilter<V extends NumberVector>
Project a 2D data set (longitude, latitude) to a 3D coordinate system (X, Y,
Z), such that Euclidean distance is line-of-sight.
|
class |
NumberVectorFeatureSelectionFilter<V extends NumberVector>
Parser to project the ParsingResult obtained by a suitable base parser onto a
selected subset of attributes.
|
class |
NumberVectorRandomFeatureSelectionFilter<V extends NumberVector>
Parser to project the ParsingResult obtained by a suitable base parser onto a
randomly selected subset of attributes.
|
class |
ProjectionFilter<I,O>
Apply a projection to the data.
|
Modifier and Type | Class and Description |
---|---|
class |
ClassLabelFromPatternFilter
Streaming filter to derive an outlier class label.
|
class |
MultivariateTimeSeriesFilter<V extends FeatureVector<?>>
Class to "fold" a flat number vector into a multivariate time series.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.