Package | Description |
---|---|
de.lmu.ifi.dbs.elki.datasource |
Data normalization (and reconstitution) of data sets.
|
de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.external |
Distance functions using external data sources.
|
Class and Description |
---|
Parser
A Parser shall provide a ParsingResult by parsing an InputStream.
|
Class and Description |
---|
AbstractStreamingParser
Base class for streaming parsers.
|
AbstractStreamingParser.Parameterizer
Parameterization class.
|
ArffParser
Parser to load WEKA .arff files into ELKI.
|
BitVectorLabelParser
Parser for parsing one BitVector per line, bits separated by whitespace.
|
CategorialDataAsNumberVectorParser
A very simple parser for categorial data, which will then be encoded as
numbers.
|
ClusteringVectorParser
Parser for simple clustering results in vector form, as written by
ClusteringVectorDumper . |
CSVReaderFormat
Basic format factory for parsing CSV-like formats.
|
LibSVMFormatParser
Parser to read libSVM format files.
|
NumberVectorLabelParser
Parser for a simple CSV type of format, with columns separated by the given
pattern (default: whitespace).
|
NumberVectorLabelParser.Parameterizer
Parameterization class.
|
Parser
A Parser shall provide a ParsingResult by parsing an InputStream.
|
SimplePolygonParser
Parser to load polygon data (2D and 3D only) from a simple format.
|
SimpleTransactionParser
Simple parser for transactional data, such as market baskets.
|
SparseNumberVectorLabelParser
Parser for parsing one point per line, attributes separated by whitespace.
|
StreamingParser
Interface for streaming parsers, that may be much more efficient in
combination with filters.
|
StringParser
Parser that loads a text file for use with string similarity measures.
|
TermFrequencyParser
A parser to load term frequency data, which essentially are sparse vectors
with text keys.
|
Class and Description |
---|
CSVReaderFormat
Basic format factory for parsing CSV-like formats.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.