Changeset 14927 for branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans
- Timestamp:
- 05/04/17 17:19:35 (8 years ago)
- Location:
- branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans
- Files:
-
- 3 edited
Legend:
- Unmodified
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branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClustering.cs
r14843 r14927 29 29 using HeuristicLab.Optimization; 30 30 using HeuristicLab.Parameters; 31 using HeuristicLab.Persistence .Default.CompositeSerializers.Storable;31 using HeuristicLab.Persistence; 32 32 using HeuristicLab.Problems.DataAnalysis; 33 33 … … 38 38 [Item("k-Means", "The k-Means clustering algorithm (wrapper for ALGLIB).")] 39 39 [Creatable(CreatableAttribute.Categories.DataAnalysis, Priority = 10)] 40 [Storable Class]40 [StorableType("b85d0012-07d4-4601-87a4-2a6d19648b22")] 41 41 public sealed class KMeansClustering : FixedDataAnalysisAlgorithm<IClusteringProblem> { 42 42 private const string KParameterName = "k"; -
branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClusteringModel.cs
r14185 r14927 25 25 using HeuristicLab.Common; 26 26 using HeuristicLab.Core; 27 using HeuristicLab.Persistence .Default.CompositeSerializers.Storable;27 using HeuristicLab.Persistence; 28 28 using HeuristicLab.Problems.DataAnalysis; 29 29 … … 32 32 /// Represents a k-Means clustering model. 33 33 /// </summary> 34 [Storable Class]34 [StorableType("c5179f26-13f5-4427-80c6-7d3ed6fcdeec")] 35 35 [Item("KMeansClusteringModel", "Represents a k-Means clustering model.")] 36 36 public sealed class KMeansClusteringModel : NamedItem, IClusteringModel { -
branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClusteringSolution.cs
r14185 r14927 26 26 using HeuristicLab.Common; 27 27 using HeuristicLab.Core; 28 using HeuristicLab.Persistence .Default.CompositeSerializers.Storable;28 using HeuristicLab.Persistence; 29 29 using HeuristicLab.Problems.DataAnalysis; 30 30 using HeuristicLab.Optimization; … … 36 36 /// </summary> 37 37 [Item("k-Means clustering solution", "Represents a k-Means solution for a clustering problem which can be visualized in the GUI.")] 38 [Storable Class]38 [StorableType("43ef58af-7372-45d0-a8ef-a54746d33225")] 39 39 public sealed class KMeansClusteringSolution : ClusteringSolution { 40 40 private const string TrainingIntraClusterSumOfSquaresResultName = "Intra-cluster sum of squares (training)";
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