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Timestamp:
05/28/14 15:09:26 (10 years ago)
Author:
mleitner
Message:

Add Feature correlation matrix, Add limit for distinct values in histogramm classification.

File:
1 copied

Legend:

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  • branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/CorrelationMatrixContent.cs

    r10870 r10908  
    11#region License Information
    22/* HeuristicLab
    3  * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
     3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
    44 *
    55 * This file is part of HeuristicLab.
     
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
     25using HeuristicLab.Problems.DataAnalysis;
    2526
    2627namespace HeuristicLab.DataPreprocessing {
    2728
    28   [Item("LineChart", "Represents the line chart grid.")]
    29   public class LineChartContent : PreprocessingChartContent {
     29  [Item("Feature Correlation Matrix", "Represents the feature correlation matrix.")]
     30  public class CorrelationMatrixContent : Item, IViewShortcut
     31  {
     32    public DataAnalysisProblemData ProblemData { get; set; }
    3033
    31     public LineChartContent(IChartLogic chartlogic)
    32       : base(chartlogic) {
     34    public CorrelationMatrixContent(DataAnalysisProblemData data) {
     35      ProblemData = data;
    3336    }
    3437
    35     public LineChartContent(LineChartContent content, Cloner cloner)
    36       : base(content, cloner) {
    37 
     38    public CorrelationMatrixContent(CorrelationMatrixContent original, Cloner cloner)
     39      : base(original, cloner) {
     40 
    3841    }
    39 
     42 
    4043    public static new Image StaticItemImage {
    41       get { return HeuristicLab.Common.Resources.VSImageLibrary.Performance; }
     44      get { return HeuristicLab.Common.Resources.VSImageLibrary.Gradient; }
    4245    }
    4346
    4447    public override IDeepCloneable Clone(Cloner cloner) {
    45       return new LineChartContent(this, cloner);
     48      return new CorrelationMatrixContent(this, cloner);
    4649    }
    47 
    4850  }
    4951}
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