Statistics: Kernel Density Estimation: Cleanup

src/Numerics/Statistics/KernelDensityEstimator.cs

@@ -3,7 +3,7 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 //
-// Copyright (c) 2009-2013 Math.NET
+// Copyright (c) 2009-2018 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -29,15 +29,13 @@
 
 using System;
 using System.Collections.Generic;
-using System.Linq;
-using System.Text;
 using MathNet.Numerics.Distributions;
 using MathNet.Numerics.Threading;
 
 namespace MathNet.Numerics.Statistics
 {
     /// <summary>
-  /// An enum of the methods the <see cref="MathNet.Numerics.Statistics.KernelDensityEstimator"/> supports
+    /// An enum of the methods the <see cref="KernelDensityEstimator"/> supports
     /// for automatic bandwidth selection.
     /// </summary>
     public enum KDEBandwidthSelectionMethod
@@ -46,6 +44,7 @@ namespace MathNet.Numerics.Statistics
         /// TBD
         /// </summary>
         SilvermansRuleOfThumb,
+
         /// <summary>
         /// TBD
         /// </summary>
@@ -53,8 +52,8 @@ namespace MathNet.Numerics.Statistics
     }
 
     /// <summary>
-  /// The <see cref="MathNet.Numerics.Statistics.KernelDensityEstimator"/> supports several predefined Kernels.
+    /// The <see cref="KernelDensityEstimator"/> supports several predefined Kernels.
-  /// Note that you can set your own custom kernel by setting <see cref="MathNet.Numerics.Statistics.KernelDensityEstimator.Kernel"/>
+    /// Note that you can set your own custom kernel by setting <see cref="KernelDensityEstimator.Kernel"/>
     /// </summary>
     public enum KDEKernelType
     {
@@ -83,13 +82,13 @@ namespace MathNet.Numerics.Statistics
         Triangular,
 
         /// <summary>
-    /// A custom kernel can be set by property <see cref="MathNet.Numerics.Statistics.KernelDensityEstimator.Kernel"/>
+        /// A custom kernel can be set by property <see cref="KernelDensityEstimator.Kernel"/>
         /// </summary>
         Custom
     }
 
     /// <summary>
-  /// 
+    /// Kernel density estimation
     /// </summary>
     public class KernelDensityEstimator
     {
@@ -99,6 +98,9 @@ namespace MathNet.Numerics.Statistics
             KernelType = KDEKernelType.Gaussian;
         }
 
+
+
+
         public double EstimateDensity(double x)
         {
             var n = Samples.Count;
@@ -115,29 +117,30 @@ namespace MathNet.Numerics.Statistics
         }
 
         private readonly IList<double> _samples;
+
         public IList<double> Samples
         {
             get { return _samples; }
         }
 
         private double _bandwidth = 1;
+
         public double Bandwidth
         {
-      get
+            get { return _bandwidth; }
-      {
-        return _bandwidth;
-      }
             set
             {
                 if (value <= 0)
                 {
                     throw new ArgumentException("The bandwidth must be a positive number!");
                 }
+
                 _bandwidth = value;
             }
         }
 
         private KDEKernelType _kernelType;
+
         public KDEKernelType KernelType
         {
             get { return _kernelType; }
@@ -176,6 +179,7 @@ namespace MathNet.Numerics.Statistics
         }
 
         private Func<double, double> _kernel;
+
         /// <summary>
         /// Sets or Gets the Kernel used for the density estimate.
         /// Setting the Kernel changes the <see cref="KernelDensityEstimator.KernelType"/> to <see cref="KDEKernelType.Custom"/>

src/UnitTests/StatisticsTests/KernelDensityEstimatorTests.cs

@@ -3,7 +3,7 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 //
-// Copyright (c) 2009-2016 Math.NET
+// Copyright (c) 2009-2018 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -28,10 +28,6 @@
 // </copyright>
 
 using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
 using NUnit.Framework;
 using MathNet.Numerics.Statistics;