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package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2015
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import de.lmu.ifi.dbs.elki.data.Clustering;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.database.relation.RelationUtil;
import de.lmu.ifi.dbs.elki.result.Result;
import de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy;
import de.lmu.ifi.dbs.elki.utilities.exceptions.ObjectNotFoundException;
import de.lmu.ifi.dbs.elki.visualization.VisualizationTask;
import de.lmu.ifi.dbs.elki.visualization.VisualizationTree;
import de.lmu.ifi.dbs.elki.visualization.VisualizerContext;
import de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot;
import de.lmu.ifi.dbs.elki.visualization.projections.Projection;
import de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector;
import de.lmu.ifi.dbs.elki.visualization.style.ClusterStylingPolicy;
import de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary;
import de.lmu.ifi.dbs.elki.visualization.style.StylingPolicy;
import de.lmu.ifi.dbs.elki.visualization.style.marker.MarkerLibrary;
import de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory;
import de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization;
import de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization;
/**
* Visualize a single derived sample from an uncertain database.
*
* Note: this is currently a hack. Our projection only applies to vector field
* relations currently, and this visualizer activates if such a relation (e.g. a
* sample, or the center of mass) has a parent relation of type UncertainObject.
* But it serves the purpose.
*
* @author Erich Schubert
* @since 0.5.0
*
* @apiviz.stereotype factory
* @apiviz.uses Instance oneway - - «create»
*/
public class UncertainInstancesVisualization extends AbstractVisFactory {
/**
* A short name characterizing this Visualizer.
*/
private static final String NAME = "Uncertain Instance";
/**
* Constructor.
*/
public UncertainInstancesVisualization() {
super();
}
@Override
public Visualization makeVisualization(VisualizationTask task, VisualizationPlot plot, double width, double height, Projection proj) {
return new Instance(task, plot, width, height, proj);
}
@Override
public void processNewResult(VisualizerContext context, Object start) {
Hierarchy.Iter<ScatterPlotProjector<?>> it = VisualizationTree.filter(context, start, ScatterPlotProjector.class);
for(; it.valid(); it.advance()) {
// Find a scatter plot visualizing uncertain objects:
ScatterPlotProjector<?> p = it.get();
Relation<?> r = p.getRelation();
if(!TypeUtil.UNCERTAIN_OBJECT_FIELD.isAssignableFromType(r.getDataTypeInformation())) {
continue;
}
final VisualizationTask task = new VisualizationTask(NAME, context, p, r, this);
task.level = VisualizationTask.LEVEL_DATA;
task.addUpdateFlags(VisualizationTask.ON_DATA | VisualizationTask.ON_SAMPLE | VisualizationTask.ON_STYLEPOLICY);
context.addVis(p, task);
continue;
}
}
/**
* Instance.
*
* @author Erich Schubert
*
* @apiviz.uses StylingPolicy
*/
public class Instance extends AbstractScatterplotVisualization {
/**
* CSS class for uncertain bounding boxes.
*/
public static final String CSS_CLASS = "uncertain-instances";
/**
* Constructor.
*
* @param task Visualization task
* @param plot Plot to draw to
* @param width Embedding width
* @param height Embedding height
* @param proj Projection
*/
public Instance(VisualizationTask task, VisualizationPlot plot, double width, double height, Projection proj) {
super(task, plot, width, height, proj);
addListeners();
}
@Override
public void fullRedraw() {
setupCanvas();
final StyleLibrary style = context.getStyleLibrary();
final StylingPolicy spol = context.getStylingPolicy();
final double size = style.getSize(StyleLibrary.MARKERPLOT);
final MarkerLibrary ml = style.markers();
// Only visualize cluster-based policies
if(!(spol instanceof ClusterStylingPolicy)) {
return;
}
ClusterStylingPolicy cspol = (ClusterStylingPolicy) spol;
Clustering<?> c = cspol.getClustering();
// If this is a sample from the uncertain database, it must have a parent
// relation containing vectors, which is a child to the uncertain
// database.
Hierarchy.Iter<Result> it = context.getHierarchy().iterAncestors(c);
Relation<? extends NumberVector> srel = null;
boolean isChild = false;
for(; it.valid(); it.advance()) {
Result r = it.get();
if(r == this.rel) {
isChild = true;
}
else if(r instanceof Relation) {
final SimpleTypeInformation<?> type = ((Relation<?>) r).getDataTypeInformation();
if(TypeUtil.NUMBER_VECTOR_FIELD.isAssignableFromType(type)) {
@SuppressWarnings("unchecked")
Relation<? extends NumberVector> vr = (Relation<? extends NumberVector>) r;
int dim = RelationUtil.dimensionality(vr);
if(dim == RelationUtil.dimensionality(this.rel)) {
srel = vr;
}
}
}
if(isChild && srel != null) {
break;
}
}
// Nothing found, probably in a different subtree.
if(!isChild || srel == null) {
return;
}
for(int cnum = cspol.getMinStyle(); cnum < cspol.getMaxStyle(); cnum++) {
for(DBIDIter iter = cspol.iterateClass(cnum); iter.valid(); iter.advance()) {
if(!sample.getSample().contains(iter)) {
continue; // TODO: can we test more efficiently than this?
}
try {
final NumberVector vec = srel.get(iter);
double[] v = proj.fastProjectDataToRenderSpace(vec);
if(v[0] != v[0] || v[1] != v[1]) {
continue; // NaN!
}
ml.useMarker(svgp, layer, v[0], v[1], cnum, size);
}
catch(ObjectNotFoundException e) {
// ignore.
}
}
}
}
}
}
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