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diff --git a/src/de/lmu/ifi/dbs/elki/visualization/visualizers/scatterplot/index/TreeSphereVisualization.java b/src/de/lmu/ifi/dbs/elki/visualization/visualizers/scatterplot/index/TreeSphereVisualization.java
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+package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2012
+ 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 java.util.ArrayList;
+
+import org.apache.batik.util.SVGConstants;
+import org.w3c.dom.Element;
+
+import de.lmu.ifi.dbs.elki.data.NumberVector;
+import de.lmu.ifi.dbs.elki.database.datastore.DataStoreListener;
+import de.lmu.ifi.dbs.elki.database.ids.DBID;
+import de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction;
+import de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction;
+import de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction;
+import de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction;
+import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance;
+import de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance;
+import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree;
+import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeNode;
+import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry;
+import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode;
+import de.lmu.ifi.dbs.elki.result.HierarchicalResult;
+import de.lmu.ifi.dbs.elki.result.Result;
+import de.lmu.ifi.dbs.elki.result.ResultUtil;
+import de.lmu.ifi.dbs.elki.utilities.iterator.IterableIterator;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag;
+import de.lmu.ifi.dbs.elki.visualization.VisualizationTask;
+import de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary;
+import de.lmu.ifi.dbs.elki.visualization.css.CSSClass;
+import de.lmu.ifi.dbs.elki.visualization.projections.Projection2D;
+import de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector;
+import de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary;
+import de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere;
+import de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot;
+import de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil;
+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 the bounding sphere of a metric index.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.has AbstractMTree oneway - - visualizes
+ * @apiviz.uses SVGHyperSphere
+ *
+ * @param <N> Tree node type
+ * @param <E> Tree entry type
+ */
+// TODO: listen for tree changes!
+public class TreeSphereVisualization<D extends NumberDistance<D, ?>, N extends AbstractMTreeNode<?, D, N, E>, E extends MTreeEntry<D>> extends AbstractScatterplotVisualization implements DataStoreListener {
+ /**
+ * Generic tag to indicate the type of element. Used in IDs, CSS-Classes etc.
+ */
+ public static final String INDEX = "index";
+
+ /**
+ * A short name characterizing this Visualizer.
+ */
+ public static final String NAME = "Index Spheres";
+
+ /**
+ * Drawing modes.
+ *
+ * @apiviz.exclude
+ */
+ private enum Modus {
+ MANHATTAN, EUCLIDEAN, LPCROSS
+ }
+
+ protected double p;
+
+ /**
+ * Drawing mode (distance) to use
+ */
+ protected Modus dist = Modus.LPCROSS;
+
+ /**
+ * The tree we visualize
+ */
+ protected AbstractMTree<?, D, N, E> tree;
+
+ /**
+ * Fill parameter.
+ */
+ protected boolean fill = false;
+
+ /**
+ * Constructor
+ *
+ * @param task Task
+ * @param fill fill flag
+ */
+ @SuppressWarnings("unchecked")
+ public TreeSphereVisualization(VisualizationTask task, boolean fill) {
+ super(task);
+ this.tree = AbstractMTree.class.cast(task.getResult());
+ this.p = getLPNormP(this.tree);
+ this.fill = fill;
+ incrementalRedraw();
+ context.addDataStoreListener(this);
+ }
+
+ /**
+ * Get the "p" value of an Lp norm.
+ *
+ * @param tree Tree to visualize
+ * @return p value
+ */
+ public static Double getLPNormP(AbstractMTree<?, ?, ?, ?> tree) {
+ // Note: we deliberately lose generics here, so the compilers complain less
+ // on the next typecheck and cast!
+ DistanceFunction<?, ?> distanceFunction = tree.getDistanceQuery().getDistanceFunction();
+ if(LPNormDistanceFunction.class.isInstance(distanceFunction)) {
+ return ((LPNormDistanceFunction) distanceFunction).getP();
+ }
+ return null;
+ }
+
+ /**
+ * Test for a visualizable index in the context's database.
+ *
+ * @param tree Tree to visualize
+ * @return whether the tree is visualizable
+ */
+ public static boolean canVisualize(AbstractMTree<?, ?, ?, ?> tree) {
+ Double p = getLPNormP(tree);
+ return (p != null);
+ }
+
+ @Override
+ protected void redraw() {
+ int projdim = proj.getVisibleDimensions2D().cardinality();
+ ColorLibrary colors = context.getStyleLibrary().getColorSet(StyleLibrary.PLOT);
+
+ p = getLPNormP(tree);
+ if(tree != null) {
+ if(ManhattanDistanceFunction.class.isInstance(tree.getDistanceQuery())) {
+ dist = Modus.MANHATTAN;
+ }
+ else if(EuclideanDistanceFunction.class.isInstance(tree.getDistanceQuery())) {
+ dist = Modus.EUCLIDEAN;
+ }
+ else {
+ dist = Modus.LPCROSS;
+ }
+ E root = tree.getRootEntry();
+ final int mtheight = tree.getHeight();
+ for(int i = 0; i < mtheight; i++) {
+ CSSClass cls = new CSSClass(this, INDEX + i);
+ // Relative depth of this level. 1.0 = toplevel
+ final double relDepth = 1. - (((double) i) / mtheight);
+ if(fill) {
+ cls.setStatement(SVGConstants.CSS_STROKE_PROPERTY, colors.getColor(i));
+ cls.setStatement(SVGConstants.CSS_STROKE_WIDTH_PROPERTY, relDepth * context.getStyleLibrary().getLineWidth(StyleLibrary.PLOT));
+ cls.setStatement(SVGConstants.CSS_FILL_PROPERTY, colors.getColor(i));
+ cls.setStatement(SVGConstants.CSS_FILL_OPACITY_PROPERTY, 0.1 / (projdim - 1));
+ cls.setStatement(SVGConstants.CSS_STROKE_LINECAP_PROPERTY, SVGConstants.CSS_ROUND_VALUE);
+ cls.setStatement(SVGConstants.CSS_STROKE_LINEJOIN_PROPERTY, SVGConstants.CSS_ROUND_VALUE);
+ }
+ else {
+ cls.setStatement(SVGConstants.CSS_STROKE_PROPERTY, colors.getColor(i));
+ cls.setStatement(SVGConstants.CSS_STROKE_WIDTH_PROPERTY, relDepth * context.getStyleLibrary().getLineWidth(StyleLibrary.PLOT));
+ cls.setStatement(SVGConstants.CSS_FILL_PROPERTY, SVGConstants.CSS_NONE_VALUE);
+ cls.setStatement(SVGConstants.CSS_STROKE_LINECAP_PROPERTY, SVGConstants.CSS_ROUND_VALUE);
+ cls.setStatement(SVGConstants.CSS_STROKE_LINEJOIN_PROPERTY, SVGConstants.CSS_ROUND_VALUE);
+ }
+ svgp.addCSSClassOrLogError(cls);
+ }
+ visualizeMTreeEntry(svgp, this.layer, proj, tree, root, 0);
+ }
+ }
+
+ /**
+ * Recursively draw the MBR rectangles.
+ *
+ * @param svgp SVG Plot
+ * @param layer Layer
+ * @param proj Projection
+ * @param mtree Mtree to visualize
+ * @param entry Current entry
+ * @param depth Current depth
+ */
+ private void visualizeMTreeEntry(SVGPlot svgp, Element layer, Projection2D proj, AbstractMTree<?, D, N, E> mtree, E entry, int depth) {
+ DBID roid = entry.getRoutingObjectID();
+ if(roid != null) {
+ NumberVector<?, ?> ro = rel.get(roid);
+ D rad = entry.getCoveringRadius();
+
+ final Element r;
+ if(dist == Modus.MANHATTAN) {
+ r = SVGHyperSphere.drawManhattan(svgp, proj, ro, rad);
+ }
+ else if(dist == Modus.EUCLIDEAN) {
+ r = SVGHyperSphere.drawEuclidean(svgp, proj, ro, rad);
+ }
+ // TODO: add visualizer for infinity norm?
+ else {
+ // r = SVGHyperSphere.drawCross(svgp, proj, ro, rad);
+ r = SVGHyperSphere.drawLp(svgp, proj, ro, rad, p);
+ }
+ SVGUtil.setCSSClass(r, INDEX + (depth - 1));
+ layer.appendChild(r);
+ }
+
+ if(!entry.isLeafEntry()) {
+ N node = mtree.getNode(entry);
+ for(int i = 0; i < node.getNumEntries(); i++) {
+ E child = node.getEntry(i);
+ if(!child.isLeafEntry()) {
+ visualizeMTreeEntry(svgp, layer, proj, mtree, child, depth + 1);
+ }
+ }
+ }
+ }
+
+ @Override
+ public void destroy() {
+ super.destroy();
+ context.removeDataStoreListener(this);
+ }
+
+ /**
+ * Factory
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.stereotype factory
+ * @apiviz.uses TreeSphereVisualization oneway - - «create»
+ */
+ public static class Factory extends AbstractVisFactory {
+ /**
+ * Fill parameter.
+ */
+ protected boolean fill = false;
+
+ /**
+ * Constructor.
+ *
+ * @param fill
+ */
+ public Factory(boolean fill) {
+ super();
+ this.fill = fill;
+ }
+
+ @Override
+ public void processNewResult(HierarchicalResult baseResult, Result result) {
+ IterableIterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
+ for(ScatterPlotProjector<?> p : ps) {
+ ArrayList<AbstractMTree<?, DoubleDistance, ?, ?>> trees = ResultUtil.filterResults(result, AbstractMTree.class);
+ for(AbstractMTree<?, DoubleDistance, ?, ?> tree : trees) {
+ if(canVisualize(tree) && tree instanceof Result) {
+ final VisualizationTask task = new VisualizationTask(NAME, (Result) tree, p.getRelation(), this);
+ task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_BACKGROUND + 1);
+ baseResult.getHierarchy().add((Result) tree, task);
+ baseResult.getHierarchy().add(p, task);
+ }
+ }
+ }
+ }
+
+ @Override
+ public Visualization makeVisualization(VisualizationTask task) {
+ return new TreeSphereVisualization<DoubleDistance, MTreeNode<Object, DoubleDistance>, MTreeEntry<DoubleDistance>>(task, fill);
+ }
+
+ /**
+ * Parameterization class.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.exclude
+ */
+ public static class Parameterizer extends AbstractParameterizer {
+ protected boolean fill = false;
+
+ @Override
+ protected void makeOptions(Parameterization config) {
+ super.makeOptions(config);
+ Flag fillF = new Flag(TreeMBRVisualization.Factory.FILL_ID);
+ if(config.grab(fillF)) {
+ fill = fillF.getValue();
+ }
+ }
+
+ @Override
+ protected Factory makeInstance() {
+ return new Factory(fill);
+ }
+ }
+ }
+} \ No newline at end of file