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Packages that use ObjectFilter | |
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de.lmu.ifi.dbs.elki.datasource | Data normalization (and reconstitution) of data sets. |
de.lmu.ifi.dbs.elki.datasource.filter | Data filtering, in particular for normalization and projection. |
Uses of ObjectFilter in de.lmu.ifi.dbs.elki.datasource |
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Fields in de.lmu.ifi.dbs.elki.datasource with type parameters of type ObjectFilter | |
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protected List<ObjectFilter> |
AbstractDatabaseConnection.filters
The filters to invoke |
protected List<ObjectFilter> |
AbstractDatabaseConnection.Parameterizer.filters
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Constructor parameters in de.lmu.ifi.dbs.elki.datasource with type arguments of type ObjectFilter | |
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AbstractDatabaseConnection(List<ObjectFilter> filters)
Constructor. |
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ExternalIDJoinDatabaseConnection(List<ObjectFilter> filters,
List<DatabaseConnection> sources)
Constructor. |
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FileBasedDatabaseConnection(List<ObjectFilter> filters,
Parser parser,
InputStream in)
Constructor. |
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InputStreamDatabaseConnection(List<ObjectFilter> filters,
Parser parser)
Constructor. |
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LabelJoinDatabaseConnection(List<ObjectFilter> filters,
List<DatabaseConnection> sources)
Constructor. |
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RandomDoubleVectorDatabaseConnection(int dim,
int size,
Long seed,
List<ObjectFilter> filters)
Constructor. |
Uses of ObjectFilter in de.lmu.ifi.dbs.elki.datasource.filter |
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Subinterfaces of ObjectFilter in de.lmu.ifi.dbs.elki.datasource.filter | |
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interface |
Normalization<O>
Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges. |
Classes in de.lmu.ifi.dbs.elki.datasource.filter that implement ObjectFilter | |
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class |
AbstractConversionFilter<I,O>
Abstract base class for simple conversion filters such as normalizations and projections. |
class |
AbstractFeatureSelectionFilter<V extends FeatureVector<?,?>>
A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet. |
class |
AbstractNormalization<O>
Abstract super class for all normalizations. |
class |
AbstractRandomFeatureSelectionFilter<V extends FeatureVector<?,?>>
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult. |
class |
AttributeWiseErfNormalization<O extends NumberVector<O,?>>
Attribute-wise Normalization using the error function. |
class |
AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>>
Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension. |
class |
AttributeWiseVarianceNormalization<V extends NumberVector<V,?>>
Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension. |
class |
ClassLabelFilter
Class that turns a label column into a class label column. |
class |
DoubleVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes. |
class |
DoubleVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes. |
class |
ExternalIDFilter
Class that turns a label column into an external ID column. |
class |
FilterByLabelFilter
A filter to sort the data set by some label. |
class |
FilterNoMissingValuesFilter
A filter to remove entries that have missing values. |
class |
FixedDBIDsFilter
This filter assigns static DBIDs, based on the sequence the objects appear in the bundle by adding a column of DBID type to the bundle. |
class |
InverseDocumentFrequencyNormalization
Normalization for text frequency vectors, using the inverse document frequency. |
class |
NoOpFilter
Dummy filter that doesn't do any filtering. |
class |
ShuffleObjectsFilter
A filter to shuffle the dataset. |
class |
SortByLabelFilter
A filter to sort the data set by some label. |
class |
SparseFloatVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes. |
class |
SparseFloatVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes. |
class |
SplitNumberVectorFilter<V extends NumberVector<V,?>>
Split an existing column into two types. |
class |
TFIDFNormalization
Perform full TF-IDF Normalization as commonly used in text mining. |
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