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java.lang.Object de.lmu.ifi.dbs.elki.application.AbstractApplication de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer<O,D>
O
- Object typeD
- Distance type@Reference(authors="E. Achtert, T. Bernecker, H.-P. Kriegel, E. Schubert, A. Zimek", title="ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series", booktitle="Proceedings of the 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, 2009", url="http://dx.doi.org/10.1007/978-3-642-02982-0_35") public class KNNExplorer<O extends NumberVector<?,?>,D extends NumberDistance<D,?>>
User application to explore the k Nearest Neighbors for a given data set and distance function. When selecting one or more data entries, the nearest neighbors each are determined and visualized.
Reference:
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur
Zimek:
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures
for Time Series.
In Proc. 11th International Symposium on Spatial and Temporal Databases (SSTD
2009), Aalborg, Denmark, 2009.
Main invocation:
java -cp elki.jar de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
The application supports the usual parameterization, in particular parameters
-dbc.in
and -explorer.distancefunction
to select an
input file and the distance function to explore.
Nested Class Summary | |
---|---|
(package private) class |
KNNExplorer.ExplorerWindow
Main window of KNN Explorer. |
static class |
KNNExplorer.Parameterizer<O extends NumberVector<?,?>,D extends NumberDistance<D,?>>
Parameterization class. |
Field Summary | |
---|---|
private Database |
database
Holds the database connection to have the algorithm run with. |
static OptionID |
DISTANCE_FUNCTION_ID
Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction . |
private DistanceFunction<O,D> |
distanceFunction
Holds the instance of the distance function specified by DISTANCE_FUNCTION_ID . |
Fields inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication |
---|
INFORMATION, INPUT_ID, OUTPUT_ID, STATIC_LOGGER |
Constructor Summary | |
---|---|
KNNExplorer(boolean verbose,
Database database,
DistanceFunction<O,D> distanceFunction)
Constructor. |
Method Summary | |
---|---|
static void |
main(String[] args)
Main method to run this application. |
void |
run()
Runs the application. |
Methods inherited from class de.lmu.ifi.dbs.elki.application.AbstractApplication |
---|
isVerbose, printErrorMessage, runCLIApplication, usage |
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
---|
public static final OptionID DISTANCE_FUNCTION_ID
DistanceFunction
.
Key: -explorer.distancefunction
Default value:
EuclideanDistanceFunction
private Database database
private DistanceFunction<O extends NumberVector<?,?>,D extends NumberDistance<D,?>> distanceFunction
DISTANCE_FUNCTION_ID
.
Constructor Detail |
---|
public KNNExplorer(boolean verbose, Database database, DistanceFunction<O,D> distanceFunction)
verbose
- Verbose flagdatabase
- DatabasedistanceFunction
- Distance functionMethod Detail |
---|
public void run() throws IllegalStateException
AbstractApplication
run
in class AbstractApplication
IllegalStateException
public static void main(String[] args)
args
- the arguments to run this application
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