- Timestamp:
- 11/24/15 17:08:13 (9 years ago)
- Location:
- branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans
- Files:
-
- 3 edited
-
KMeansClustering.cs (modified) (1 diff)
-
KMeansClusteringModel.cs (modified) (1 diff)
-
KMeansClusteringSolution.cs (modified) (1 diff)
Legend:
- Unmodified
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branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClustering.cs
r12509 r13368 37 37 [Item("k-Means", "The k-Means clustering algorithm (wrapper for ALGLIB).")] 38 38 [Creatable(CreatableAttribute.Categories.DataAnalysis, Priority = 10)] 39 [StorableClass ]39 [StorableClass("64670EE3-1D17-45B2-BDCC-245918DB8895")] 40 40 public sealed class KMeansClustering : FixedDataAnalysisAlgorithm<IClusteringProblem> { 41 41 private const string KParameterName = "k"; -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClusteringModel.cs
r12509 r13368 32 32 /// Represents a k-Means clustering model. 33 33 /// </summary> 34 [StorableClass ]34 [StorableClass("7B062A19-9844-4D9B-8DD0-8F466312C001")] 35 35 [Item("KMeansClusteringModel", "Represents a k-Means clustering model.")] 36 36 public sealed class KMeansClusteringModel : NamedItem, IClusteringModel { -
branches/PersistenceOverhaul/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClusteringSolution.cs
r12012 r13368 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 [StorableClass ]38 [StorableClass("E423B712-C642-4F6C-AABB-238AE5015E99")] 39 39 public sealed class KMeansClusteringSolution : ClusteringSolution { 40 40 private const string TrainingIntraClusterSumOfSquaresResultName = "Intra-cluster sum of squares (training)";
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