1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
|
package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier;
/*
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 org.apache.batik.util.SVGConstants;
import org.w3c.dom.Element;
import de.lmu.ifi.dbs.elki.algorithm.outlier.COP;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.database.datastore.DataStoreListener;
import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.math.linearalgebra.VMath;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Vector;
import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;
import de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy;
import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
import de.lmu.ifi.dbs.elki.utilities.documentation.Title;
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.css.CSSClass;
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.StyleLibrary;
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 error vectors as produced by COP.
*
* @author Erich Schubert
* @since 0.5.5
*
* @apiviz.stereotype factory
* @apiviz.uses Instance oneway - - «create»
* @apiviz.has OutlierResult oneway - - visualizes
*/
@Title("COP: Correlation Outlier Probability")
@Reference(authors = "Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek", //
title = "Outlier Detection in Arbitrarily Oriented Subspaces", //
booktitle = "Proc. IEEE International Conference on Data Mining (ICDM 2012)", //
url = "http://dx.doi.org/10.1109/ICDM.2012.21")
public class COPVectorVisualization extends AbstractVisFactory {
/**
* A short name characterizing this Visualizer.
*/
public static final String NAME = "Error Vectors";
/**
* Constructor.
*/
public COPVectorVisualization() {
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) {
VisualizationTree.findNewSiblings(context, start, OutlierResult.class, ScatterPlotProjector.class, new VisualizationTree.Handler2<OutlierResult, ScatterPlotProjector<?>>() {
@Override
public void process(VisualizerContext context, OutlierResult o, ScatterPlotProjector<?> p) {
final Relation<?> rel2 = p.getRelation();
if(!TypeUtil.NUMBER_VECTOR_FIELD.isAssignableFromType(rel2.getDataTypeInformation())) {
return;
}
Hierarchy.Iter<Relation<?>> it1 = VisualizationTree.filterResults(context, o, Relation.class);
for(; it1.valid(); it1.advance()) {
Relation<?> rel = it1.get();
if(!rel.getShortName().equals(COP.COP_ERRORVEC)) {
continue;
}
final VisualizationTask task = new VisualizationTask(NAME, context, rel, rel2, COPVectorVisualization.this);
task.level = VisualizationTask.LEVEL_DATA;
task.addUpdateFlags(VisualizationTask.ON_DATA | VisualizationTask.ON_SAMPLE);
context.addVis(o, task);
context.addVis(p, task);
}
}
});
}
/**
* Visualize error vectors as produced by COP.
*
* @author Erich Schubert
*/
public class Instance extends AbstractScatterplotVisualization implements DataStoreListener {
/**
* Generic tag to indicate the type of element. Used in IDs, CSS-Classes
* etc.
*/
public static final String VEC = "copvec";
/**
* The outlier result to visualize
*/
protected Relation<Vector> result;
/**
* 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);
this.result = task.getResult();
addListeners();
}
@Override
public void fullRedraw() {
setupCanvas();
setupCSS(svgp);
for(DBIDIter objId = sample.getSample().iter(); objId.valid(); objId.advance()) {
Vector evec = result.get(objId);
if(evec == null) {
continue;
}
double[] ev = proj.fastProjectRelativeDataToRenderSpace(evec);
// TODO: avoid hard-coded plot threshold
if(VMath.euclideanLength(ev) < 0.01) {
continue;
}
final NumberVector vec = rel.get(objId);
if(vec == null) {
continue;
}
double[] v = proj.fastProjectDataToRenderSpace(vec);
if(v[0] != v[0] || v[1] != v[1]) {
continue; // NaN!
}
Element arrow = svgp.svgLine(v[0], v[1], v[0] + ev[0], v[1] + ev[1]);
SVGUtil.addCSSClass(arrow, VEC);
layer.appendChild(arrow);
}
}
/**
* Registers the COP error vector-CSS-Class at a SVGPlot.
*
* @param svgp the SVGPlot to register the Tooltip-CSS-Class.
*/
private void setupCSS(SVGPlot svgp) {
final StyleLibrary style = context.getStyleLibrary();
CSSClass bubble = new CSSClass(svgp, VEC);
bubble.setStatement(SVGConstants.CSS_STROKE_WIDTH_PROPERTY, style.getLineWidth(StyleLibrary.PLOT) / 2);
// ColorLibrary colors = style.getColorSet(StyleLibrary.PLOT);
String color = "red"; // TODO: use style library
bubble.setStatement(SVGConstants.CSS_STROKE_VALUE, color);
bubble.setStatement(SVGConstants.CSS_FILL_PROPERTY, SVGConstants.CSS_NONE_VALUE);
svgp.addCSSClassOrLogError(bubble);
}
}
}
|