| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.datasource.parser | 
 Parsers for different file formats and data types
 
 The general use-case for any parser is to create objects out of an
  
InputStream (e.g. by reading a data file). | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
BitVectorLabelParser
Parser for parsing one BitVector per line, bits separated by whitespace. 
 | 
class  | 
CategorialDataAsNumberVectorParser<V extends NumberVector>
A very simple parser for categorial data, which will then be encoded as
 numbers. 
 | 
class  | 
ClusteringVectorParser
Parser for simple clustering results in vector form, as written by
  
ClusteringVectorDumper. | 
class  | 
LibSVMFormatParser<V extends SparseNumberVector>
Parser to read libSVM format files. 
 | 
class  | 
NumberVectorLabelParser<V extends NumberVector>
Parser for a simple CSV type of format, with columns separated by the given
 pattern (default: whitespace). 
 | 
class  | 
SimplePolygonParser
Parser to load polygon data (2D and 3D only) from a simple format. 
 | 
class  | 
SimpleTransactionParser
Simple parser for transactional data, such as market baskets. 
 | 
class  | 
SparseNumberVectorLabelParser<V extends SparseNumberVector>
Parser for parsing one point per line, attributes separated by whitespace. 
 | 
class  | 
TermFrequencyParser<V extends SparseNumberVector>
A parser to load term frequency data, which essentially are sparse vectors
 with text keys. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
protected abstract AbstractStreamingParser | 
AbstractStreamingParser.Parameterizer.makeInstance()  | 
Copyright © 2019 ELKI Development Team. License information.