Uses of Class
at.tuwien.ifs.somtoolbox.visualization.AbstractBackgroundImageVisualizer

Packages that use AbstractBackgroundImageVisualizer
at.tuwien.ifs.somtoolbox.apps.viewer.fileutils   
at.tuwien.ifs.somtoolbox.visualization Provides classes creating visualisations of trained SOMs. 
 

Uses of AbstractBackgroundImageVisualizer in at.tuwien.ifs.somtoolbox.apps.viewer.fileutils
 

Methods in at.tuwien.ifs.somtoolbox.apps.viewer.fileutils with parameters of type AbstractBackgroundImageVisualizer
static BufferedImage ExportUtils.getVisualization(AbstractBackgroundImageVisualizer abiv, int currentVariant, GrowingSOM gsom, int unitWidth)
           
 

Uses of AbstractBackgroundImageVisualizer in at.tuwien.ifs.somtoolbox.visualization
 

Subclasses of AbstractBackgroundImageVisualizer in at.tuwien.ifs.somtoolbox.visualization
 class AbstractItemVisualizer
          An abstract visualiser that displays properties of a single selected item, e.g.
 class AbstractMatrixVisualizer
           
(package private)  class ActivityHistogram
          This is the implementation of an Activity Histogram.
FIXME: there are a lot of common parts with ComponentPlanesVisualizer ==> make a superclass for both of them.
 class AdaptiveCoordinatesVisualizer
          Implementation of the adaptive coordinates method.
 class CategoryPieChartVisualizer
          Visualises category information, such as class assignement, via pie charts.
 class ClusterConnectionsVisualizer
          Implementation of the Cluster Connections Visualisation as described in D.
 class ComparisonVisualizer
           
 class ComponentPlanesVisualizer
          This visualiser provides a visualisation of component planes, i.e.
 class EntropyVisualizer
           
 class FlowBorderlineVisualizer
          This class provides two visualizations: Flow visualization Borderline visualizations. both described in:
Georg Poelzlbauer, Michael Dittenbach, Andreas Rauber.
 class FuzzyColourCodingVisualiser
           
 class GapVisualiser
          This Visualizer provides the Gap visualiser, as described in Samuel Kaski, Janne Nikkilä, and Teuvo Kohonen. Methods for exploratory cluster analysis.
 class HitHistogramVisualizer
          A hit-histogram visualiser, with three different modes of the hit count: Colour-coding the values Size and colour-encoding of the values Textually displaying the numeric values
 class IntrinsicDistanceVisualizer
          Visualisation of some aspects of the Intrinsic Distance Quality Measure, computation in IntrinsicDistance.
 class MappingDistortionVisualizer
           
 class MetroMapVisualizer
           
 class MinimumSpanningTreeVisualizer
           
 class NeighbourhoodGraph
          This visualisation provides two visualization plugin-ins for neighbourhood graphs.
 class PMatrix
          This visualizer implements: Ultsch, A.
 class QuantizationErrorVisualizer
          Visualization of some aspects of Quantization Error
Notes: Only the measures relating to the Units will be drawn (Unit_QE, Unit_MQE)
FIXME: does not need input vector, data is stored already in unit file computations of both methods is very similar, should be combined
 class RegressionVisualiser
           
 class RhythmPatternsAttributeVisualizer
           
 class SearchResultHistogramVisualizer
           
 class SilhouetteVisualizer
           
 class SmoothedCountHistograms
          visualizes counts (e.g.
 class SmoothedDataHistograms
          This visualizer provides an implementation of the Smoothed Data Histograms in three variants.
 class ThematicClassMapVisualizer
          This visualisation colours the map according to the distribution of classes assigned to the data items.
 class TopographicErrorVisualizer
          Visualization of some aspects of the Topographic Error Quality Measure, computation in TopographicError
Notes: Only the measures relating to the Units will be drawn (Unit_QE, Unit_MQE)
 class TopographicProductVisualizer
          Visualization of some aspects of the Topographic Product Quality Measure, computation in TopographicProduct
Notes: Only the measure relating to the Units will be drawn
 class TrustwothinessVisualizer
          Visualization of some aspects of Quality Measure 6: Trustwothiness: computation in layers/quality/Q6Q7_TWNP.java
Notes: Only the measure relating to the Units will be drawn
 class UMatrix
          This Visualizer provides two variants of the U-Matrix.